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Datasets:
SWHL
/
text_det_test_dataset

Modalities:
Image
Languages:
Chinese
English
Size:
n<1K
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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文本检测测试集

数据集简介

  • 该测试集包括卡证类、文档类和自然场景三大类。其中卡证类有82张，文档类有75张，自然场景类有55张。
  • 该数据集可以结合文本检测指标评测库-TextDetMetric使用，快速评测各种文本检测算法。
  • 关于该数据集，欢迎小伙伴贡献更多数据呦！有任何想法，可以前往issue讨论。

数据集支持的任务

可用于自定义数据集下的模型验证和性能评估等。

数据集加载方式 

from datasets import load_dataset

dataset = load_dataset("SWHL/text_det_test_dataset")

test_data = dataset['test']
print(test_data)

数据集生成的相关信息

原始数据

数据来源于网络，如侵删。

数据集标注

  • 数据集使用labelme标注，json格式差别在于imagePath字段改写为了file_name字段。其余相同。

  • 数据集标注为json格式，示例如下：

    {
"version": "4.5.6",
"flags": {},
"shapes": [
    {
    "label": "",
    "points": [
        [
        486.0,
        751.0
        ],
        [
        588.0,
        751.0
        ],
        [
        588.0,
        779.0
        ],
        [
        486.0,
        779.0
        ]
    ],
    "group_id": null,
    "shape_type": "polygon",
    "flags": {}
    },
    {
    "label": "",
    "points": [
        [
        385.1382113821138,
        686.6178861788618
        ],
        [
        592.4552845528456,
        688.2439024390244
        ],
        [
        589.2032520325204,
        739.4634146341464
        ],
        [
        386.7642276422764,
        737.0243902439024
        ]
    ],
    "group_id": null,
    "shape_type": "polygon",
    "flags": {}
    }
],
"file_name": "19.png",
"imageData": "xxxxxx",
"imageHeight": 784,
"imageWidth": 613
}
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Models trained or fine-tuned on SWHL/text_det_test_dataset