Datasets:
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README.md
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# TAO-Amodal Dataset
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<!-- Provide a quick summary of the dataset. -->
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Official Source for Downloading the TAO-Amodal Dataset.
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[**π Project Page**](https://tao-amodal.github.io/) | [**π» Code**](https://github.com/WesleyHsieh0806/TAO-Amodal) | [**π Paper Link**](https://arxiv.org/abs/2312.12433) | [**βοΈ Citations**](#citations)
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Our dataset encompasses 880 categories, aimed at assessing the occlusion reasoning capabilities of current trackers
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through the paradigm of Tracking Any Object with Amodal perception (TAO-Amodal).
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### Dataset Download
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1. Download with git:
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```bash
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β βββ train/validation/test.json
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β βββ train_lvis_v1.json
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β βββ validation_lvis_v1.json
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βββ example_output
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β βββ prediction.json
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βββ BURST_annotations
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# TAO-Amodal Dataset
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<!-- Provide a quick summary of the dataset. -->
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Official Source for Downloading the TAO-Amodal and TAO Dataset.
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[**π Project Page**](https://tao-amodal.github.io/) | [**π» Code**](https://github.com/WesleyHsieh0806/TAO-Amodal) | [**π Paper Link**](https://arxiv.org/abs/2312.12433) | [**βοΈ Citations**](#citations)
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Our dataset encompasses 880 categories, aimed at assessing the occlusion reasoning capabilities of current trackers
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through the paradigm of Tracking Any Object with Amodal perception (TAO-Amodal).
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You can also find the annotations of TAO dataset in `annotations` folder.
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### Dataset Download
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1. Download with git:
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```bash
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β βββ train/validation/test.json
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β βββ train_lvis_v1.json
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β βββ validation_lvis_v1.json
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βββ annotations (TAO annotations)
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β βββ train/validation.json
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β βββ train/validation_with_freeform.json
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β βββ README.md
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βββ example_output
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β βββ prediction.json
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βββ BURST_annotations
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