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  license: openrail
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  license: openrail
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+
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+ # OVDEval:How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
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+
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+ ## Dataset Description
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+
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+ OVDEval is a new benchmark for OVD model, which includes 9 sub-tasks and introduces evaluations on commonsense knowledge, attribute understanding, position understanding, object relation comprehension, and more.
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+
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+ ## Languages
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+
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+ The dataset contains questions in English and code solutions in Python.
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+
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+ ## Dataset Structure
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+
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+ ```python
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+ {
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+ "categories": [
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+ {
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+ "supercategory": "object",
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+ "id": 0,
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+ "name": "computer without screen on"
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+ }]
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+ "annotations": [
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+ {
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+ "id": 0,
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+ "bbox": [
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+ 111,
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+ 117,
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+ 99,
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+ 75
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+ ],
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+ "category_id": 0,
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+ "image_id": 0,
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+ "iscrowd": 0,
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+ "area": 7523
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+ }]
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+ "images": [
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+ {
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+ "file_name": "64d22c6fe4b011b0db94b993.jpg",
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+ "id": 0,
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+ "height": 254,
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+ "width": 340,
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+ "text": [
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+ "computer without screen on"
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+ ],
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+ "neg_text": [
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+ "computer with screen on"
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+ ]
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+ }]
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+ }
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+
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+ ```
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+
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+ ### How to use it
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+
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+ Reference https://github.com/om-ai-lab/OVDEval
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+
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+
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+ ### Data Fields
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/658a2e94991d8e7fb24f7688/ngOkek9wJdppyxPB0xZ8Q.png)
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+
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+
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+ ## Citation Information
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+ If you find our data, or code helpful, please cite the original paper:
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+
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+ ```
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+ @article{yao2023evaluate,
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+ title={How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection},
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+ author={Yao, Yiyang and Liu, Peng and Zhao, Tiancheng and Zhang, Qianqian and Liao, Jiajia and Fang, Chunxin and Lee, Kyusong and Wang, Qing},
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+ journal={arXiv preprint arXiv:2308.13177},
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+ year={2023}
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+ }
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+ ```