JackieMM/aloha_real_agilex_nesting_doll-siglip2-droid-ft
aloha_real_agilex_nesting_doll with SigLIP2-DROID targets This LeRobot v2.1 dataset is a copy of SakikoTogawa/aloha_real_agilex_nesting_doll with observation.concept added. For every timestep, the three camera images are processed independently by the fine-tuned SakikoTogawa/siglip2-base-droid vision encoder. The vision_model.pooler_output vectors (768 dimensions each) are concatenated in the order left wrist, right wrist, and high camera, producing a 2304-dimensional float32… See the full description on the dataset page: https://huggingface.co/datasets/JackieMM/aloha_real_agilex_nesting_doll-siglip2-droid-ft.
aloharealagilexnestingdoll with SigLIP2-DROID targets
This LeRobot v2.1 dataset is a copy of SakikoTogawa/aloha_real_agilex_nesting_doll with observation.concept added. For every timestep, the three camera images are processed independently by the fine-tuned SakikoTogawa/siglip2-base-droid vision encoder. The vision_model.pooler_output vectors (768 dimensions each) are concatenated in the order left wrist, right wrist, and high camera, producing a 2304-dimensional float32 target. These features are intended as training-time supervision.