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metadata
title: README
emoji: ⚡
colorFrom: yellow
colorTo: green
sdk: static
pinned: false
Easily load and transform datasets for object detection.
Documentation: https://blinjrm.github.io/detection-datasets/
Source Code: https://github.com/blinjrm/detection-datasets
Datasets on Hugging Face Hub: https://huggingface.co/detection-datasets
detection_datasets
aims to make it easier to work with detection datasets.
This library works alongside the Detection dataset organisation on the 🤗 Hub, where some detection datasets have been uploaded in the format expected by the library, and are ready to use.
The main features are:
-
Read the dataset :
- From disk if it has already been downloaded.
- Directly from the Hugging Face Hub if it already exist.
-
Transform the dataset:
- Select a subset of data.
- Remap categories.
- Create new train-val-test splits.
- Visualize the annotations and images.
-
Write the dataset:
- To disk, selecting the target detection format:
COCO
,YOLO
and more to come. - To the Hugging Face Hub for easy reuse in a different environment and share with the community.
- To disk, selecting the target detection format:
Read the quick start, or directly jump to the tutorials:
Goal | Tutorial | Colab |
---|---|---|
Load from disk and upload to the Hub | Open in the docs | |
Load from the Hub and transform | Open in the docs |