{"url":"/dataset/coil100-augmented","name":"Coil100-Augmented","full_name":null,"description_markdown":"This dataset derives from [Coil100](https://huggingface.co/datasets/Voxel51/COIL-100). \r\nThere 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. Then planar rotation (9 angles) and  18 scaling factors has been applied.\r\nObjects have a wide variety of complex geometric and reflectance characteristics.\r\n\r\n \r\nThis augmented version of Coil100 has been design for Disentangled Representation Learning for real images, the Factors of Variations are:\r\n\r\n| Factors  | # values |\r\n|----------|----------|\r\n| Object   | 100      |\r\n| 3D Pose  | 72       |\r\n| Rotation | 9        |\r\n| Scale    | 18       |\r\n\r\n\r\nThe binarized version is also available.","description_withheld":null,"homepage":"https://huggingface.co/datasets/dappu97/Coil100-Augmented","introduced_date":"2024-09-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/transferring-disentangled-representations","title":"Transferring disentangled representations: bridging the gap between synthetic and real images","first_author":"Jacopo Dapueto","url":null},"license":{"name":"apache-2.0","url":null},"modalities":[],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Segmentation","url":"/task/segmentation","datasets_with_task":"/datasets/task/segmentation"},{"name":"Disentanglement","url":"/task/disentanglement","datasets_with_task":"/datasets/task/disentanglement"},{"name":"Image to 3D","url":"/task/image-to-3d","datasets_with_task":"/datasets/task/image-to-3d"}],"languages":[],"variants":["Coil100-Augmented"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}