Datasets:
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README.md
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[Visualization](https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/visualization) contains scripts to generate frames with the ground truth box and the predicted point.
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One should follow the prediction json format given in random_preds.json files. Here are a few visualizations generated:
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## Citation Information
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If you're using GroundingYouTube in your research or applications, please cite using this BibTeX:
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```bibtex
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[Visualization](https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/visualization) contains scripts to generate frames with the ground truth box and the predicted point.
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One should follow the prediction json format given in random_preds.json files. Here are a few visualizations generated:
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<table>
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<tr>
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<td><img src="https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/sample_images/-1okAudsnAc_5769.jpg" width="250"/></td>
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<td><img src="https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/sample_images/0tcT84VeD2c_2315.jpg" width="250"/></td>
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</tr>
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<tr>
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<td><img src="https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/sample_images/1Q1_jE4IIls_2036.jpg" width="250"/></td>
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<td><img src="https://huggingface.co/datasets/CVML-TueAI/grounding-YT-dataset/tree/main/sample_images/_7RI2fa78aE_1033.jpg" width="250"/></td>
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</tr>
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</table>
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## Citation Information
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If you're using GroundingYouTube in your research or applications, please cite using this BibTeX:
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```bibtex
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