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  ---
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  license: apache-2.0
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  dataset_info:
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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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+ ---
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+ license: apache-2.0
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': croissant
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+ '1': kitchen-counter
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+ '2': serving-cup
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+ '3': whiteboard
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+ splits:
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+ - name: train
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+ num_bytes: 3760395
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+ num_examples: 23
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+ download_size: 3762376
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+ dataset_size: 3760395
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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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+ tags:
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+ - robotics
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+ - computer vision
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+ pretty_name: Reachy Doing Things Image Dataset
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+ size_categories:
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+ - n<1K
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+ ---
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+ # Reachy Doing Things Dataset
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+
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+ ![demo](https://github.com/pollen-robotics/pollen-vision/assets/pollen_vision_intro.gif)
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+
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+ ## Overview
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+
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+ The Reachy Doing Things Images Dataset consists of images captured from the perspective of the Reachy humanoid robot. These images were taken during teleoperation sessions, providing a unique view of the environment as perceived by the robot during manipulation tasks. The images were captured with a RGBD camera mounted on the shoulder of the robot.
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+
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+ ## Purpose
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+
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+ This dataset is primarily aimed at testing and validating the performance of vision tools integrated into the [pollen-vision library](https://github.com/pollen-robotics/pollen-vision). Currently, it serves as a validation suite for object detection, object segmentation, and image tagging algorithms.
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+ While it is not intended for training models at this stage, it provides valuable real-world data to refine and improve these vision tools. The images in the dataset are not annotated.
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+
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+ ## Content
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+ - Non annotated ego-centric images captured during teleoperation sessions with Reachy
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+
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+ ## Future Updates
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+ While the dataset is currently limited in size, ongoing efforts are underway to expand its content. Future updates will include additional images and annotations, making it a more comprehensive resource for vision research and development.
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+
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+ ## Contact
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+ For any inquiries or feedback regarding the dataset, please contact contact@pollen-robotics.com.
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+
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  ---
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  license: apache-2.0
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  dataset_info:
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ ---