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README.md
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sequence: int64
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splits:
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- name: train
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num_bytes: 310981677
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num_examples: 101
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download_size: 308827001
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dataset_size: 310981677
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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sequence: int64
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splits:
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- name: train
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num_bytes: 310981677
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num_examples: 101
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download_size: 308827001
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dataset_size: 310981677
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- image-segmentation
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- image-classification
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- object-detection
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pretty_name: Semantic segmenation and pose estimation from RGB-D
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---
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RGB-D dataset for instance segmentation (from RGB or depth) and pose estimation of individual objects. Data has been generated by randomizing bin contents in Webots.
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https://cdn-uploads.huggingface.co/production/uploads/655b1b359d249b4ab388d4a2/l6b76ezxkPi6lG3Fr6_kj.mp4
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