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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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## Overview |
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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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## Purpose |
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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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## Content |
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- Non annotated ego-centric images captured during teleoperation sessions with Reachy |
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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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## Contact |
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For any inquiries or feedback regarding the dataset, please contact contact@pollen-robotics.com. |
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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: 3760395.0 |
|
num_examples: 23 |
|
download_size: 3762376 |
|
dataset_size: 3760395.0 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
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path: data/train-* |
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--- |
