db_id
stringclasses 69
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stringlengths 24
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|---|---|---|---|---|---|
image_and_language
|
Give the number of images containing the object sample of "suit".
|
number of images refers to IMG_ID; object sample of "suit" refers to OBJ_CLASS = 'suit'
|
SELECT COUNT(T.IMG_ID) FROM ( SELECT T2.IMG_ID FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.OBJ_CLASS = 'suit' GROUP BY T2.IMG_ID ) T
| 7,500 | |
image_and_language
|
What is the relationship between "feathers" and "onion" in image no.2345528?
|
relationship refers to PRED_CLASS; "feathers" and "onion" in image no.2345528 refers to IMG_ID = 2345528 and OBJ_CLASS = 'feathers' and OBJ_CLASS = 'onion'
|
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_SAMPLE_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE (T4.OBJ_CLASS = 'feathers' OR T4.OBJ_CLASS = 'onion') AND T2.IMG_ID = 2345528 GROUP BY T1.PRED_CLASS
| 7,501 | |
image_and_language
|
Tell the attribute of the weeds in image no.2377988.
|
attribute of the weeds refers to OBJ_CLASS = 'weeds'; image no.2377988 refers to IMG_ID = 2377988
|
SELECT T2.ATT_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T4.OBJ_CLASS = 'weeds' AND T1.IMG_ID = 2377988
| 7,502 | |
image_and_language
|
What is the object whose attribute is blurry in image no.2377993? Give the explanation about the object.
|
attribute is blurry refers to ATT_CLASS = 'blurry'; image no.2377993 refers to IMG_ID = 22377993; explanation about the object refers to OBJ_CLASS
|
SELECT T4.OBJ_CLASS_ID, T4.OBJ_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T2.ATT_CLASS = 'blurry' AND T1.IMG_ID = 22377993
| 7,503 | |
image_and_language
|
How many samples of "wall" are there in image no.2353079?
|
samples of "wall" refers to OBJ_SAMPLE_ID and OBJ_CLASS = 'wall' ; image no.2353079 refers to IMG_ID = 2353079
|
SELECT SUM(CASE WHEN T1.OBJ_CLASS = 'wall' THEN 1 ELSE 0 END) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2353079
| 7,504 | |
image_and_language
|
State the object class of sample no.10 of image no.2320341.
|
object class refers to OBJ_CLASS; sample no.10 refers to OBJ_SAMPLE_ID = 10; image no.2320341 refers to IMG_ID = 2320341
|
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2320341 AND T2.OBJ_SAMPLE_ID = 10
| 7,505 | |
image_and_language
|
How many times is the number of images containing "broccoli" than "tomato"?
|
images refers to IMG_ID; "broccoli" refers to OBJ_CLASS = 'broccoli'; "tomato" refers to OBJ_CLASS = 'tomato' ; How many times = divide(count(OBJ_SAMPLE_ID) when OBJ_CLASS = 'broccoli', count(OBJ_SAMPLE_ID) when OBJ_CLASS = 'tomato')
|
SELECT CAST(COUNT(CASE WHEN T1.OBJ_CLASS = 'broccoli' THEN T2.OBJ_SAMPLE_ID ELSE NULL END) AS REAL) / COUNT(CASE WHEN T1.OBJ_CLASS = 'tomato' THEN T2.OBJ_SAMPLE_ID ELSE NULL END) times FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID
| 7,506 | |
image_and_language
|
How many images have at least 25 attributes?
|
images refers to IMG_ID; have at least 25 attributes refers to count(ATT_CLASS_ID) > = 25
|
SELECT COUNT(*) FROM ( SELECT IMG_ID FROM IMG_OBJ_att GROUP BY IMG_ID HAVING COUNT(ATT_CLASS_ID) > 25 ) T1
| 7,507 | |
image_and_language
|
List all the ids of the images that have a self-relation relationship.
|
ids of the images refers to IMG_ID; self-relations refers to OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID
|
SELECT DISTINCT IMG_ID FROM IMG_REL WHERE OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID
| 7,508 | |
image_and_language
|
How many objects are there in the attribute class id with the highest number of objects?
|
objects refers to OBJ_SAMPLE_ID; attribute class id with the highest number of objects refers to max(COUNT(ATT_CLASS_ID))
|
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_att GROUP BY IMG_ID ORDER BY COUNT(ATT_CLASS_ID) DESC LIMIT 1
| 7,509 | |
image_and_language
|
What are the id of all the objects belonging to the transportation class?
|
id of all the objects belonging to the transportation class refers to OBJ_CLASS_ID and OBJ_CLASS IN ('bus', 'train', 'aeroplane', 'car', 'etc.')
|
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS IN ('bus', 'train', 'aeroplane', 'car', 'etc')
| 7,510 | |
image_and_language
|
What are the corresponding classes for the "very large bike" attribute?
|
attribute refers to ATT_CLASS
|
SELECT ATT_CLASS_ID FROM ATT_CLASSES WHERE ATT_CLASS = 'very large'
| 7,511 | |
image_and_language
|
What is the unique id number identifying the onion object class?
|
unique id number identifying refers to OBJ_CLASS_ID; onion object class refers to OBJ_CLASS = 'onion'
|
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS = 'onion'
| 7,512 | |
image_and_language
|
List all the corresponding classes for attributes of image id 8.
|
classes for attributes refers to ATT_CLASS; image id 8 refers to IMG_ID = 8
|
SELECT T2.ATT_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 8
| 7,513 | |
image_and_language
|
What is the bounding box of the object with image id 4 and a prediction relationship class id of 144?
|
bounding box of the object refers to (x, y, W, H); image id refers to IMG_ID; prediction relationship class id of 144 refers to PRED_CLASS_ID = 144
|
SELECT T2.X, T2.Y, T2.W, T2.H FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID WHERE T1.PRED_CLASS_ID = 144 AND T1.IMG_ID = 3
| 7,514 | |
image_and_language
|
How many images have at least 5 "black" classes?
|
images refers to IMG_ID; have at least 5 "black" classes refers to count(ATT_CLASS_ID) where ATT_CLASS = 'black' > = 5
|
SELECT COUNT(IMGID) FROM ( SELECT T1.IMG_ID AS IMGID FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.ATT_CLASS = 'black' GROUP BY T1.IMG_ID HAVING COUNT(T1.ATT_CLASS_ID) >= 5 ) T3
| 7,515 | |
image_and_language
|
What is the prediction relationship class id of the tallest image?
|
prediction relationship class id refers to PRED_CLASS_ID; tallest image refers to max(H)
|
SELECT T1.PRED_CLASS_ID FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID ORDER BY T2.H DESC LIMIT 1
| 7,516 | |
image_and_language
|
Which image has the highest number of "white" class attributes?
|
"white" class attributes refers to ATT_CLASS = 'white'; highest number refers to max(count(ATT_CLASS_ID))
|
SELECT T1.IMG_ID AS IMGID FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.ATT_CLASS = 'white' GROUP BY T1.IMG_ID ORDER BY COUNT(T1.ATT_CLASS_ID) DESC LIMIT 1
| 7,517 | |
image_and_language
|
What are the x and y coordinates of all the images with a prediction relationship class id of 98?
|
prediction relationship class id of 98 refers to PRED_CLASS_ID = 98
|
SELECT T2.X, T2.Y FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID WHERE T1.PRED_CLASS_ID = 98
| 7,518 | |
image_and_language
|
How many prediction classes with "has" captions are there for image id 3050?
|
prediction classes with "has" captions refers to PRED_CLASS = 'has'; image id 3050 refers to IMG_ID = 3050
|
SELECT COUNT(T2.PRED_CLASS_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 3050 AND T2.PRED_CLASS = 'has'
| 7,519 | |
image_and_language
|
List all the explanations about object classes of all the images with an x and y coordinate of 0.
|
explanations about distinct object classes refers to OBJ_CLASS; images refers to IMG_ID; x and y coordinate of 0 refers to X = 0 AND Y = 0
|
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.X = 0 AND T2.Y = 0 GROUP BY T1.OBJ_CLASS
| 7,520 | |
image_and_language
|
What are the captions of all the self-relation relationship prediction classes?
|
self-relation relationship refers to OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID and PRED_CLASS; captions of prediction classes refers to PRED_CLASS
|
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN pred_classes AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.OBJ1_SAMPLE_ID = T1.OBJ2_SAMPLE_ID GROUP BY T2.PRED_CLASS
| 7,521 | |
image_and_language
|
Give all the bounding boxes for image 2222 whose object classes are feathers.
|
bounding boxes refers to (x, y, W, H); image 2222 refers to IMG_ID = 2222; object classes are feathers refers to OBJ_CLASS = 'feathers'
|
SELECT T2.X, T2.Y, T2.H, T2.W FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2222 AND T1.OBJ_CLASS = 'feathers'
| 7,522 | |
image_and_language
|
Among the objects that have multiple relations, how many images whose captions for the prediction class ids are "on"?
|
objects that have multiple relations refers to OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_ID; captions for the prediction class ids are "on" refers to PRED_CLASS = 'on'
|
SELECT COUNT(T2.PRED_CLASS_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.OBJ1_SAMPLE_ID != T1.OBJ2_SAMPLE_ID AND T2.PRED_CLASS = 'on'
| 7,523 | |
image_and_language
|
What is the object class of the image with a bounding box of 0, 0, 135, 212?
|
object class of the image refers to OBJ_CLASS; bounding box of 0, 0, 135, 212 refers to X = 0 AND Y = 0 AND W = 135 AND H = 212
|
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.X = 0 AND T2.Y = 0 AND T2.W = 135 AND T2.H = 212
| 7,524 | |
image_and_language
|
Provide the dimensions of the bounding box that contains the keyboard that was spotted in image no. 3.
|
dimensions of the bounding box refers to (W, H); keyboard refers to OBJ_CLASS = 'keyboard'; image no. 3 refers to IMG_ID = 3
|
SELECT T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 3 AND T2.OBJ_CLASS = 'keyboard'
| 7,525 | |
image_and_language
|
Identify the border's coordinates on the X and Y axes that enclose a folk in image no. 6.
|
coordinates on the X and Y axes refers to X and Y; folk refers to OBJ_CLASS = 'folk'; image no. 6 refers to IMG_ID = 6
|
SELECT T1.X, T1.Y FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 6 AND T2.OBJ_CLASS = 'folk'
| 7,526 | |
image_and_language
|
Define the onion's bounding box on image no. 285930.
|
bounding box refers to (X, Y, W, H); onion refers to OBJ_CLASS = 'onion'; image no.285930 refers to IMG_ID = 285930
|
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 285930 AND T2.OBJ_CLASS = 'onion'
| 7,527 | |
image_and_language
|
How many objects can you spot in image no. 72? What objects may be identified on the same image and within the bounding box represented as (341, 27, 42, 51)?
|
How many objects refers to OBJ_CLASS_ID; image no. 72 refers to IMG_ID = 72; What objects refers to OBJ_CLASS; bounding box represented as (341, 27, 42, 51) refers to X = 341 and Y = 27 and W = 42 and H = 51
|
SELECT SUM(IIF(T1.IMG_ID = 1, 1, 0)), SUM(IIF(T1.X = 341 AND T1.Y = 27 AND T1.W = 42 AND T1.H = 51, 1, 0)) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID
| 7,528 | |
image_and_language
|
On image no. 5, name the attributes that are composed of multiple objects.
|
image no. 5 refers to IMG_ID = 5; name the attributes refers to ATT_CLASS; multiple objects refers to count(ATT_CLASS) > = 2
|
SELECT T2.ATT_CLASS FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 5 GROUP BY T2.ATT_CLASS HAVING COUNT(T2.ATT_CLASS) > 2
| 7,529 | |
image_and_language
|
What attributes are used to describe the wall on image no. 27.
|
What attributes refers to ATT_CLASS; wall on image no. 27 refers to OBJ_CLASS = 'wall' and IMG_ID = 27
|
SELECT T4.ATT_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T2.OBJ_CLASS = 'wall' AND T1.IMG_ID = 27 GROUP BY T4.ATT_CLASS
| 7,530 | |
image_and_language
|
Name the object element that is described as being scattered on image no. 10.
|
Name the object element refers to OBJ_CLASS; scattered refers to ATT_CLASS = 'scattered'; image no. 10 refers to IMG_ID = 10
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T4.ATT_CLASS = 'scattered' AND T1.IMG_ID = 10 GROUP BY T2.OBJ_CLASS
| 7,531 | |
image_and_language
|
How many images contain 'bridge' as an object element?
|
images refers to IMG_ID; 'bridge' as an object element refers to OBJ_CLASS = 'bridge'
|
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'bridge'
| 7,532 | |
image_and_language
|
How many object elements are there on average in each image?
|
object elements refers to OBJ_CLASS_ID; average = divide(count(OBJ_CLASS_ID), count(IMG_ID))
|
SELECT CAST(COUNT(OBJ_CLASS_ID) AS REAL) / COUNT(DISTINCT IMG_ID) FROM IMG_OBJ
| 7,533 | |
image_and_language
|
What colour is the van that can be spotted in image no. 1?
|
colour refers to ATT_CLASS; van refers to OBJ_CLASS = 'van'; image no. 1 refers to IMG_ID = 1
|
SELECT T4.ATT_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T2.OBJ_CLASS = 'van' AND T1.IMG_ID = 1 GROUP BY T4.ATT_CLASS
| 7,534 | |
image_and_language
|
Describe the objects, their attributes, and the relationships that comprise the scene on image no. 1 within the bounding box, represented as (388, 369, 48, 128).
|
objects refers to OBJ_CLASS; attributes refers to ATT_CLASS; relationships refers to PRED_CLASS; image no. 1 refers to IMG_ID = 1; bounding box, represented as (388, 369, 48, 128) refers to X = 388 and Y = 369 and W = 48 and H = 128
|
SELECT DISTINCT T2.OBJ_CLASS, T4.ATT_CLASS, T6.PRED_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID INNER JOIN IMG_REL AS T5 ON T1.IMG_ID = T5.IMG_ID INNER JOIN PRED_CLASSES AS T6 ON T5.PRED_CLASS_ID = T6.PRED_CLASS_ID WHERE T1.IMG_ID = 1 AND T1.X = 388 AND T1.Y = 369 AND T1.W = 48 AND T1.H = 128
| 7,535 | |
image_and_language
|
What is the relationship between object sample no. 25 and object sample no. 2 on image no. 1?
|
relationship refers to PRED_CLASS; object sample no. 25 and object sample no. 2 refers to OBJ1_SAMPLE_ID = 25 and OBJ2_SAMPLE_ID = 2; image no. 1 refers to IMG_ID = 1
|
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 1 AND T1.OBJ1_SAMPLE_ID = 25 AND T1.OBJ2_SAMPLE_ID = 2
| 7,536 | |
image_and_language
|
How many attributes are related to the object sample no. 7 on image no. 4?
|
How many attributes refers to ATT_CLASS_ID; object sample no. 7 on image no. 4 refers to IMG_ID = 4 and OBJ_SAMPLE_ID = 7
|
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_ATT WHERE IMG_ID = 4 AND OBJ_SAMPLE_ID = 7
| 7,537 | |
image_and_language
|
How many object elements can be detected on image no. 31?
|
How many object elements refers to OBJ_CLASS_ID; image no. 31 refers to IMG_ID = 31
|
SELECT COUNT(OBJ_CLASS_ID) FROM IMG_OBJ WHERE IMG_ID = 31
| 7,538 | |
image_and_language
|
On image no. 20, identify the attribute ID that is composed of the highest number of objects.
|
image no. 20 refers to IMG_ID = 20; attribute ID refers to ATT_CLASS_ID; highest number of objects refers to max(count(ATT_CLASS_ID))
|
SELECT ATT_CLASS_ID FROM IMG_OBJ_ATT WHERE IMG_ID = 20 GROUP BY ATT_CLASS_ID ORDER BY COUNT(ATT_CLASS_ID) DESC LIMIT 1
| 7,539 | |
image_and_language
|
Define the bounding box of the object sample no. 7 on image no. 42.
|
bounding box of the object refers to (X, Y, W, H); sample no.7 on image no.42 refers to IMG_ID = 42 and OBJ_SAMPLE_ID = 7
|
SELECT X, Y, W, H FROM IMG_OBJ WHERE IMG_ID = 42 AND OBJ_SAMPLE_ID = 7
| 7,540 | |
image_and_language
|
On image no. 99 identify the percentage of objects that are described as white.
|
image no. 99 refers to IMG_ID = 99; described as white refers to ATT_CLASS = 'white'; percentage = divide(count(OBJ_SAMPLE_ID) where ATT_CLASS = 'white', count(OBJ_SAMPLE_ID)) as percentage
|
SELECT CAST(SUM(CASE WHEN T2.ATT_CLASS = 'white' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(OBJ_SAMPLE_ID) FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 99
| 7,541 | |
image_and_language
|
How many attribute classes are there for image id 5?
|
attribute classes refer to ATT_CLASS_ID; image id 5 refers to IMG_ID = 5;
|
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_ATT WHERE IMG_ID = 5
| 7,542 | |
image_and_language
|
State the explanation about object class 10.
|
explanation about object class 10 refers to OBJ_CLASS where OBJ_CLASS_ID = 10;
|
SELECT OBJ_CLASS FROM OBJ_CLASSES WHERE OBJ_CLASS_ID = 10
| 7,543 | |
image_and_language
|
Name the object class of the image with a bounding (422, 63, 77, 363).
|
image with a bounding (422, 63, 77, 363) refers to OBJ_CLASS_ID where X = 422 and Y = 63 and W = 77 and H = 363;
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 422 AND T1.Y = 63 AND T1.W = 77 AND T1.H = 363
| 7,544 | |
image_and_language
|
What is the caption for the prediction class id 12?
|
caption for the prediction class id 12 refers to PRED_CLASS where PRED_CLASS_ID = 12;
|
SELECT PRED_CLASS FROM PRED_CLASSES WHERE PRED_CLASS_ID = 12
| 7,545 | |
image_and_language
|
Indicate the bounding box of the image 8.
|
bounding box refers to X, Y, W, H from IMG_OBJ; image 8 refers to IMG_ID = 8;
|
SELECT X, Y, W, H FROM IMG_OBJ WHERE IMG_ID = 8
| 7,546 | |
image_and_language
|
How many object samples in image no.908 are in the class of tip?
|
object samples in the class of "tip" refer to OBJ_CLASS_ID where OBJ_CLASS = 'tip'; image no.5 refers to IMG_ID = 5;
|
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'tip' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 908
| 7,547 | |
image_and_language
|
List out the number of object samples in image no.41 which are in the class of "kitchen"?
|
object samples in the class of "kitchen" refer to OBJ_CLASS_ID where OBJ_CLASS = 'kitchen'; image no.41 refers to IMG_ID = 41 ;
|
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'kitchen' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 41
| 7,548 | |
image_and_language
|
Count the image numbers that contain the "paint" object.
|
image numbers that contain the "paint" object refer to IMG_ID where OBJ_CLASS = 'paint';
|
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'paint'
| 7,549 | |
image_and_language
|
How many samples of clouds are there in the image no.2315533?
|
samples of clouds refer to IMG_ID where OBJ_CLASS = 'cloud'; image no.2315533 refers to IMG_ID = 2315533;
|
SELECT SUM(CASE WHEN T1.IMG_ID = 2315533 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'clouds'
| 7,550 | |
image_and_language
|
Which object classes belong to the onion category?
|
onion category refers to OBJ_CLASS = 'onion';
|
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS = 'onion'
| 7,551 | |
image_and_language
|
What is the bounding box of "spoon" in image id 1344?
|
the bounding box refers to X, Y, W, H from IMG_OBJ; image id 1344 refers to IMG_ID = 1344; "spoon" refers to OBJ_CLASS = 'spoon';
|
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1344 AND T2.OBJ_CLASS = 'spoon'
| 7,552 | |
image_and_language
|
What is the percentage of "surface" object samples in image No.2654?
|
DIVIDE(SUM(OBJ_CLASS_ID where OBJ_CLASS = 'surface'), COUNT(OBJ_CLASS_ID)) as percentage where IMG_ID = 2654;
|
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'surface' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OBJ_CLASS_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 2654
| 7,553 | |
image_and_language
|
How many images include the "wood" objects?
|
images refer to IMG_ID; "wood" objects refer to OBJ_CLASS = 'wood';
|
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'wood'
| 7,554 | |
image_and_language
|
State the object class of the image with tallest bounding box.
|
bounding box refers to X, Y, W, H from IMG_OBJ; tallest relates to the height of the bounding box which refers to MAX(H); object class refers to OBJ_CLASS;
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID ORDER BY T1.H DESC LIMIT 1
| 7,555 | |
image_and_language
|
Calculate the percentage of "airplane" object class in the table.
|
DIVIDE(SUM(OBJ_SAMPLE_ID where OBJ_CLASS = 'airplane'), COUNT(OBJ_CLASS)) as percentage;
|
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'airplane' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.OBJ_CLASS) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID
| 7,556 | |
image_and_language
|
How many samples of animal objects are there in image no.660?
|
samples of animal objects refer to OBJ_SAMPLE_ID where OBJ_CLASS = 'animal'; image no.660 refers to IMG_ID = 660;
|
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'animal' AND T1.IMG_ID = 660
| 7,557 | |
image_and_language
|
Name number of samples of "bed" object are there in the image No.1098?
|
samples of "bed" object refer to OBJ_SAMPLE_ID where OBJ_CLASS = 'bed'; image No.1098 refers to IMG_ID = 1098;
|
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'bed' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1098
| 7,558 | |
image_and_language
|
Name the object class of the image with lowest bounding box.
|
bounding box refers to X, Y, W, H from IMG_OBJ; lowest relates to the height of the bounding box which refers to MIN(H);
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID ORDER BY T1.H LIMIT 1
| 7,559 | |
image_and_language
|
Indicating the bounding box of "kitchen" in image id 250.
|
bounding box refers to X, Y, W, H from IMG_OBJ; "kitchen" in image id 250 refers to OBJ_CLASS = 'kitchen' where IMG_ID = 250;
|
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 250 AND T2.OBJ_CLASS = 'kitchen'
| 7,560 | |
image_and_language
|
Which images have more than 20 object samples?
|
images have more than 20 object samples refer to IMG_ID where COUNT(OBJ_SAMPLE_ID) > 20;
|
SELECT IMG_ID FROM IMG_OBJ GROUP BY IMG_ID HAVING COUNT(IMG_ID) > 20
| 7,561 | |
image_and_language
|
Which object in image 8 is the widest? State its object sample ID.
|
widest relates to the width of the bounding
box of the object which refers to MAX(W); object in image 8 refers to OBJ_SAMPLE_ID where IMG_ID = 8;
|
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 8 ORDER BY W DESC LIMIT 1
| 7,562 | |
image_and_language
|
Find the object in image 5 where the object with the coordinate of (634, 468).
|
object in image 5 refers to OBJ_SAMPLE_ID where IMG_ID = 5; coordinates of (634, 468) refer to X and Y coordinates of the bounding box in which X = 634 and Y = 468;
|
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 5 AND X = 634 AND Y = 468
| 7,563 | |
image_and_language
|
Which object has the highest attribute classes?
|
object has the highest attribute classes refers to OBJ_SAMPLE_ID where MAX(COUNT(OBJ_SAMPLE_ID));
|
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ_ATT GROUP BY OBJ_SAMPLE_ID ORDER BY COUNT(OBJ_SAMPLE_ID) DESC LIMIT 1
| 7,564 | |
image_and_language
|
What is the ratio between the number of object samples in image 1 and the number of object samples in image 6?
|
DIVIDE(SUM(OBJ_SAMPLE_ID where IMG_ID = 1), SUM(OBJ_SAMPLE_ID where IMG_ID = 6));
|
SELECT CAST(SUM(CASE WHEN IMG_ID = 1 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN IMG_ID = 6 THEN 1 ELSE 0 END) FROM IMG_OBJ
| 7,565 | |
image_and_language
|
Calculate the average of object samples for the image.
|
DIVIDE(COUNT(OBJ_SAMPLE_ID), COUNT(IMG_ID));
|
SELECT CAST(COUNT(OBJ_SAMPLE_ID) AS REAL) / COUNT(DISTINCT IMG_ID) FROM IMG_OBJ
| 7,566 | |
image_and_language
|
List all the IDs of images that have objects with the attributes of 'wired'.
|
IDs of images refer to IMG_ID; objects with the attributes of 'wired' refer to ATT_CLASS = 'wired';
|
SELECT DISTINCT T2.IMG_ID FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'wired'
| 7,567 | |
image_and_language
|
List all the object classes in image 10.
|
object classes refer to OBJ_CLASS; image 10 refers to IMG_ID = 10;
|
SELECT DISTINCT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 10
| 7,568 | |
image_and_language
|
List attributes for object class 'tip' In image 1314.
|
attributes for object refer to ATT_CLASS; class 'tip' in image 1314 refers to OBJ_CLASS = 'tip' where IMG_ID = 1314;
|
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T3.IMG_ID = 1314 AND T4.OBJ_CLASS = 'tip'
| 7,569 | |
image_and_language
|
What is the prediction class between object class 'chain' and 'label' in image 2360078?
|
prediction class refers to PRED_CLASS; object class 'chain' refers to OBJ_CLASS = 'chain'; object class 'label' refers to OBJ_CLASS = 'label'; image 2360078 refers to IMG_ID = 2360078;
|
SELECT DISTINCT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T2.PRED_CLASS_ID = T1.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID AND T1.OBJ1_SAMPLE_ID = T3.OBJ_SAMPLE_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.IMG_ID = 2360078 AND T1.OBJ1_SAMPLE_ID = 15 OR T1.OBJ2_SAMPLE_ID = 18
| 7,570 | |
image_and_language
|
How many images have objects with the attributes of polka dot?
|
attributes of polka dot refer to ATT_CLASS = 'polka dot'; images refer to IMG_ID;
|
SELECT COUNT(T2.OBJ_SAMPLE_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'polka dot'
| 7,571 | |
image_and_language
|
What are the attributes of the widest object in image 400?
|
attributes refer to ATT_CLASS; the widest relates to the width of the bounding
box of the object which refers to MAX(W); image 400 refers to IMG_ID = 400;
|
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T2.IMG_ID = 400 ORDER BY T3.W DESC LIMIT 1
| 7,572 | |
image_and_language
|
State the name of the object class that has in most images.
|
object class that has in most images refers to OBJ_CLASS where MAX(COUNT(OBJ_CLASS_ID));
|
SELECT OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID GROUP BY T2.OBJ_CLASS ORDER BY COUNT(T1.OBJ_CLASS_ID) DESC LIMIT 1
| 7,573 | |
image_and_language
|
State the width and height of the object with the class of 'van' in image 1.
|
The bounding box's W and H abbreviations stand for the object's width and height respectively; class of 'van' in image 1 refers to OBJ_CLASS = 'van' where IMG_ID = 1;
|
SELECT T1.H, T1.W FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1 AND T2.OBJ_CLASS = 'van'
| 7,574 | |
image_and_language
|
State the coordinate of X and Y for the object with the attribute of 'sparse' in image 1.
|
coordinates of X and Y for the object refer to X and Y coordinates of the bounding box; attribute of 'sparse' in image 1 refers to IMG_ID = 1 where ATT_CLASS = 'sparse';
|
SELECT T3.OBJ_SAMPLE_ID, T3.X, T3.Y FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T3.IMG_ID = 1 AND T1.ATT_CLASS = 'sparse'
| 7,575 | |
image_and_language
|
Calculate the percentage of object samples that are related to street lights.
|
DIVIDE(COUNT(OBJ_SAMPLE_ID where OBJ_CLASS = 'street lights'), COUNT(OBJ_SAMPLE_ID)) as percentage;
|
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'street lights' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OBJ_SAMPLE_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID
| 7,576 | |
image_and_language
|
Based on image 5, what is the percentage of images that belong windows object class?
|
DIVIDE(COUNT(OBJ_SAMPLE_ID where OBJ_CLASS = 'windows' and IMG_ID = 5), COUNT(OBJ_SAMPLE_ID where IMG_ID = 5)) as percentage;
|
SELECT CAST(COUNT(T1.OBJ_SAMPLE_ID) AS REAL) * 100 / COUNT(CASE WHEN T1.IMG_ID = 5 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'windows'
| 7,577 | |
image_and_language
|
How many images have an x-coordinate of 5 and y-coordinate of 5?
|
X and Y refer to coordinates of the bounding box where X = 5 and Y = 5; images refer to IMG_ID;
|
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE X = 5 AND Y = 5
| 7,578 | |
image_and_language
|
How many images have less than 15 object samples?
|
images refer to IMG_ID; less than 15 object samples refer to COUNT(OBJ_SAMPLE_ID) < 15;
|
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE OBJ_SAMPLE_ID < 15
| 7,579 | |
image_and_language
|
How many images have a total of 10 attribute classes?
|
images refer to IMG_ID; total of 10 attribute classes refers to COUNT(OBJ_CLASS_ID) = 10;
|
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE OBJ_CLASS_ID = 10
| 7,580 | |
image_and_language
|
List the ID of all images with objects that have multiple relations.
|
ID of all images refer to IMG_ID; if two objects (OBJ1_SAMPLE_ID,
OBJ2_SAMPLE_ID) has
multiple PRED_CLASS_ID, it
means these two objects
have multiple relations;
|
SELECT IMG_ID FROM IMG_REL GROUP BY PRED_CLASS_ID HAVING COUNT(DISTINCT OBJ1_SAMPLE_ID) != 0 AND COUNT(DISTINCT OBJ2_SAMPLE_ID) != 0
| 7,581 | |
image_and_language
|
How many images have "vegetable" and "fruits" as their object classes?
|
images refer to IMG_ID; "vegetables" and "fruits" as object classes refer to OBJ_CLASS = 'vegetables' and OBJ_CLASS = 'fruits';
|
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'vegetables' OR T2.OBJ_CLASS = 'fruits'
| 7,582 | |
image_and_language
|
What is the image ID with a predicted class of "parked on"?
|
predicted class of "parked on" refers to PRED_CLASS = 'parked on';
|
SELECT DISTINCT T1.IMG_ID FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.PRED_CLASS = 'parked on'
| 7,583 | |
image_and_language
|
List all the object classes of the images that have a (5,5) coordinate.
|
object classes refer to OBJ_CLASS; (5,5) coordinates refer to X and Y coordinates of the bounding box where X = 5 and Y = 5;
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 5 AND T1.Y = 5
| 7,584 | |
image_and_language
|
How many images have "keyboard" as their object class?
|
images refer to IMG_ID; "keyboard" as object class refers to OBJ_CLASS = 'keyboard';
|
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard'
| 7,585 | |
image_and_language
|
What are the width and height of the bounding box of the object with "keyboard" as their object class and (5, 647) as their coordinate?
|
The bounding box's W and H abbreviations stand for the object's width and height respectively; "keyboard" as object class refers to OBJ_CLASS = 'keyboard'; (5, 647) as coordinate refers to X and Y coordinates of the bounding box where X = 5 and Y = 647;
|
SELECT T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard' AND T1.X = 5 AND T1.Y = 647
| 7,586 | |
image_and_language
|
List all the ID of the images that have an attribute class of "horse".
|
ID of all images refer to IMG_ID; attribute class of "horse" refers to ATT_CLASS = 'horse';
|
SELECT T2.IMG_ID FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'horse'
| 7,587 | |
image_and_language
|
Provide the x-coordinate and y-coordinate of the image with an attribute class of ''horse" and an object class of "fur".
|
attribute class of "horse" refers to ATT_CLASS = 'horse'; object class of "fur" refers to OBJ_CLASS = 'fur';
|
SELECT T3.X, T3.Y FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.ATT_CLASS = 'horse' AND T4.OBJ_CLASS = 'fur'
| 7,588 | |
image_and_language
|
List all the attribute classes of the image ID "15".
|
attribute classes of the image ID "15" refer to ATT_CLASS where IMG_ID = 15;
|
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.IMG_ID = 15
| 7,589 | |
image_and_language
|
For those objects that have multiple relations, how many images have a prediction class of "reading"?
|
prediction class of "reading" refers to PRED_CLASS = 'reading'; if two objects (OBJ1_SAMPLE_ID,
OBJ2_SAMPLE_ID) has
multiple PRED_CLASS_ID, it
means these two objects
have multiple relations;
|
SELECT COUNT(T1.IMG_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.PRED_CLASS = 'reading'
| 7,590 | |
image_and_language
|
How many images have "picture" as their attribute class?
|
images have "picture" as their attribute class refer to IMG_ID where ATT_CLASS = 'picture';
|
SELECT COUNT(T2.IMG_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'picture'
| 7,591 | |
image_and_language
|
How many images have "picture" as their attribute class and "bear" as their object class?
|
"picture" as attribute class refers to ATT_CLASS = 'picture'; "bear" as object class refers to OBJ_CLASS = 'bear'; images refer to IMG_ID;
|
SELECT COUNT(T2.IMG_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.ATT_CLASS = 'picture' AND T4.OBJ_CLASS = 'bear'
| 7,592 | |
image_and_language
|
List all the attribute classes of the images that have a (5,5) coordinate.
|
attribute classes refer to ATT_CLASS; (5,5) coordinate refers to X and Y coordinates of the bounding box where X = 5 and Y = 5;
|
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T3.X = 5 AND T3.Y = 5
| 7,593 | |
image_and_language
|
Calculate the average number of images with an attribute class of "keyboard".
|
AVG(IMG_ID) where OBJ_CLASS = 'keyboard';
|
SELECT AVG(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard'
| 7,594 | |
image_and_language
|
Calculate the ratio of the total number of images with an object class of "man" and "person".
|
DIVIDE(COUNT(IMG_ID where OBJ_CLASS = 'man'), COUNT(IMG_ID where OBJ_CLASS = 'person'));
|
SELECT CAST(COUNT(CASE WHEN T2.OBJ_CLASS = 'man' THEN 1 ELSE 0 END) AS REAL) / COUNT(CASE WHEN T2.OBJ_CLASS = 'person' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID
| 7,595 | |
image_and_language
|
List the object sample IDs of image ID 17 with coordinates (0,0).
|
object sample ID refers to OBJ_SAMPLE_ID; image ID 17 refers to IMG_ID = 17; coordinates (0,0) refer to X and Y coordinates of the bounding box where X = 0 and Y = 0;
|
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 17 AND X = 0 AND Y = 0
| 7,596 | |
image_and_language
|
List all bounding box widths and heights of object sample ID 2.
|
The bounding box's W and H abbreviations stand for the object's width and height respectively; object sample ID 2 refers to OBJ_SAMPLE_ID = 2;
|
SELECT W, H FROM IMG_OBJ WHERE OBJ_SAMPLE_ID = 2
| 7,597 | |
image_and_language
|
In the Y coordinate of image ID 12, how many are 0?
|
Y coordinate many are 0 refers to Y coordinates of the bounding box where Y = 0; image ID 12 refers to IMG_ID = 12;
|
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE IMG_ID = 12 AND Y = 0
| 7,598 | |
image_and_language
|
List all the attribute classes of image ID 22.
|
attribute classes of image ID 22 refer to ATT_CLASS where MG_ID = 22;
|
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.IMG_ID = 22
| 7,599 |
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