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-# OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning 
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-This is the official dataset of OCTScenes (https://arxiv.org/abs//2306.09682). OCTScenes contains 5000 tabletop scenes with a total of 15 everyday objects. Each scene is captured in 60 frames covering a 360-degree perspective. 
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-The 0-3099 scenes without segmentation annotation are for training, while 3100-3199 scenes with segmentation annotation in the OCTScnes-A dataset. The 0-4899 scenes without segmentation annotation are for training, while 4900-4999 with segmentation annotation in the OCTScnes-B dataset.
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-We have three different resolutions for each scene: 128x128, 256x256 and 640x480. They are in `./128x128`,`./256x256`, and `./640x480` respectively. The name of each image is in the form `[scene_id]_[frame_id].png`. 
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-The segmentation results are in `./128x128/segments_128.tar.gz`. Currently, we have the segmentations of scenes 3100-3199 and 4900-4999 with resolutions 128x128. The shape of all of the images is 1x128x128, and the name of each segmentation is in the form `[scene_id]_[frame_id].png`.The int number in each pixel represents the index of the object(ranges from 1 to 10, and 0 represents the background).
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-The repository currently only contains a 128x128 size dataset, and 256x256 and 640x480 size datasets will be available soon.