SOCO SOCO is a semanti object correspondence dataset with images, per view keypoint annotations, pair annotations that for evaluation of visual features. Evaluation code is available at the OmniProbe repo. Repository Layout After unzipping, the dataset tree is: Contents Images.zip : rendered object images, organized by category. KeypointAnnotations.zip : per view keypoint annotations, organized by category. PairAnnotations.zip : image pair files for intra category ( intra ), cross category ( cross ), and the predefined train/test splits ( trainsplits ). Metadata/ : keypoint taxonomy and filename mapping (shipped unzipped). This release contains 100 categories, 4,000 images (40 per category), 4,000 keypoint annotation files, and 60,000 pair annotation files (20,000 intra category, 20,000 cross category, and a 10,000 / 10,000 intra category train / test split). Download Install the Hub client: Download the repository and unpack the archives: Equivalently in Python: Using the data After extraction the folder layout maps directly onto a dataset root path: point your loader at the SOCOv1/ directory and read images from Images/ / and pairs from the relevant PairAnnotations/ subfolder. Fo…
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