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## Dataset Details
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This dataset derives from [Coil100](https://huggingface.co/datasets/Voxel51/COIL-100).
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There are more than 1,1M images of 100 objects. Each object was turned on a turnable through 360 degrees to vary object pose with respect to a fixed color camera. Images of the objects were taken at pose intervals of 5 degrees. This corresponds to 72 poses per object.
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Objects have a wide variety of complex geometric and reflectance characteristics.
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This augmented version of Coil100 has been
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| Factors | # values |
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## Dataset Details
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This dataset derives from [Coil100](https://huggingface.co/datasets/Voxel51/COIL-100).
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There are more than 1,1M images of 100 objects. Each object was turned on a turnable through 360 degrees to vary object pose with respect to a fixed color camera. Images of the objects were taken at pose intervals of 5 degrees. This corresponds to 72 poses per object.
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*In addition* to the original dataset, planar rotation (9 angles) and 18 scaling factors have been applied so that there are no dependencies between factors.
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Objects have a wide variety of complex geometric and reflectance characteristics.
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This augmented version of Coil100 has been designed for Disentangled Representation Learning for real images, the Factors of Variations are:
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| Factors | # values |
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