Datasets:
Tasks:
Object Detection
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
< 1K
License:
Dataset Viewer
image
imagewidth (px) 500
500
| width
int64 500
500
| height
int64 500
500
| yolo_annotation
dict | coco_annotation
dict | pascal_voc_annotation
dict |
|---|---|---|---|---|---|
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500 | 500 | {"bbox":[[0.257999986410141,0.39399999380111694,0.012000000104308128,0.00800000037997961],[0.3449999(...TRUNCATED) | {"image_id":28,"annotations":{"id":[3736,3737,3738,3739,3740,3741,3742,3743,3744,3745,3746,3747,3748(...TRUNCATED) | {"filename":"ESP_037018_2170_RED_MRDR_1633.tif","size":{"width":500,"height":500,"depth":1},"objects(...TRUNCATED) |
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End of preview. Expand
in Data Studio
boulder_detection Dataset
An object detection dataset in YOLO format containing 3 splits: train, val, test.
Dataset Metadata
- License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
- Version: 1.0
- Date Published: 2025-05-16
- Cite As: TBD
Dataset Details
Format: YOLO
Splits: train, val, test
Classes: boulder
Additional Formats
- Includes COCO format annotations
- Includes Pascal VOC format annotations
Data Format
This dataset is compatible with the CROISSANT metadata standard.
from datasets import load_dataset
dataset = load_dataset("gremlin97/boulder_detection")
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