bop-benchmark/ocdit

ocdit This dataset was generated as part of the ICCV 2025 publication Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation (see Citation). Synthetic, BOP-format training data for unseen object computer vision tasks, such as 6D pose estimation, instance segmentation, and detection. Scenes are physically rendered with BlenderProc; every object instance carries a 6D pose, amodal + visible masks, bounding boxes, and a visibility fraction. Alongside the scenes we… See the full description on the dataset page: https://huggingface.co/datasets/bop-benchmark/ocdit.

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