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---
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](https://github.com/pollen-robotics/pollen-vision/blob/develop/assets/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-*
--- |