Datasets:
Tasks:
Image Segmentation
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
object-centric learning
License:
Update README.md
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README.md
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@@ -18,20 +18,20 @@ This is the official dataset of OCTScenes (https://arxiv.org/abs//2306.09682). O
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In the OCTScenes-A dataset, the 0--3099 scenes without segmentation annotation are for training, while the 3100--3199 scenes with segmentation annotation can be used for testing. In the OCTScenes-B dataset, the 0--4899 scenes without segmentation annotation are for training, while the 4900--4999 scenes with segmentation annotation can be used for testing.
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We have images of three different resolutions for each scene: 128x128, 256x256 and 640x480. The name of each image is in the form `[scene_id]_[frame_id].png`. They are in `./128x128`,`./256x256`, and `./640x480` respectively. The images are compressed using `tar`, and the name of compressed files starts with the resolutions, such as '
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For example, for the images with the resolution of 128x128, please download all the files starts with '
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cat
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And then decompress the file:
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tar xvzf
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```
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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
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In the OCTScenes-A dataset, the 0--3099 scenes without segmentation annotation are for training, while the 3100--3199 scenes with segmentation annotation can be used for testing. In the OCTScenes-B dataset, the 0--4899 scenes without segmentation annotation are for training, while the 4900--4999 scenes with segmentation annotation can be used for testing.
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We have images of three different resolutions for each scene: 128x128, 256x256 and 640x480. The name of each image is in the form `[scene_id]_[frame_id].png`. They are in `./128x128`,`./256x256`, and `./640x480` respectively. The images are compressed using `tar`, and the name of compressed files starts with the resolutions, such as 'image_128x128_'. Please download all the compressed files, and use 'tar' instruction to decompress the files.
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For example, for the images with the resolution of 128x128, please download all the files starts with 'image_128x128_', and then merge files into 'image_128x128.tar.gz':
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```
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cat image_128x128_* > image_128x128.tar.gz
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```
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And then decompress the file:
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```
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tar xvzf image_128x128.tar.gz
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```
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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 contains 128x128 size and 256x256 size datasets, and 640x480 size dataset will be available soon.
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