---
license: apache-2.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': croissant
          '1': kitchen-counter
          '2': serving-cup
          '3': whiteboard
  splits:
  - name: train
    num_bytes: 3760395
    num_examples: 23
  download_size: 3762376
  dataset_size: 3760395
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- robotics
- computer vision
pretty_name: Reachy Doing Things Image Dataset
size_categories:
- n<1K
---
# Reachy Doing Things Dataset

![demo](pollen_vision_intro.gif)

## Overview

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.

## Purpose

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. 

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.

## Content

- Non annotated ego-centric images captured during teleoperation sessions with Reachy

## Future Updates

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.

## Contact

For any inquiries or feedback regarding the dataset, please contact contact@pollen-robotics.com.

---
license: apache-2.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': croissant
          '1': kitchen-counter
          '2': serving-cup
          '3': whiteboard
  splits:
  - name: train
    num_bytes: 3760395.0
    num_examples: 23
  download_size: 3762376
  dataset_size: 3760395.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---