blinjrm/detection-datasets

Easily load and transform datasets for object detection

28
/ 100
Experimental

This tool helps machine learning engineers and researchers manage and prepare image datasets for object detection tasks. It allows you to easily load image and annotation data, such as COCO or YOLO format, either from your local storage or from the Hugging Face Hub. You can then transform, visualize, and save these datasets in various formats, streamlining the data preparation stage for training object detection models.

No commits in the last 6 months.

Use this if you frequently work with object detection datasets and need to quickly load, clean, re-split, or convert them between common formats like COCO and YOLO.

Not ideal if your workflow involves complex, custom image processing tasks beyond basic subsetting, category remapping, and format conversions, or if you primarily work with datasets for tasks other than object detection.

computer-vision object-detection dataset-preparation machine-learning-engineering image-annotation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

11

Forks

1

Language

Python

License

MIT

Last pushed

Apr 03, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/blinjrm/detection-datasets"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.