https://github.com/piebro/static-image-labeling-websites

Static and simple websites to label images for computer vision applications.
https://github.com/piebro/static-image-labeling-websites

Last synced: about 2 months ago
JSON representation

Static and simple websites to label images for computer vision applications.

• Host: GitHub
• URL: https://github.com/piebro/static-image-labeling-websites
• Owner: piebro
• License: mit
• Created: 2024-03-15T08:47:33.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-12T16:47:56.000Z (about 1 year ago)
• Last Synced: 2024-04-14T12:38:40.329Z (about 1 year ago)
• Language: HTML
• Homepage:
• Size: 57.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Static Image Labeling Websites

Static and simple websites for labeling images for computer vision applications.

1. [Website](https://piebro.github.io/static-image-labeling-websites/object-detection-labeling.html) for labeling bounding boxes.

2. [Website](https://piebro.github.io/static-image-labeling-websites/classification-labeling.html) for labeling image for classification. Use `python classification_txt_to_folder.py ` to save the images in folder according to the annotations. In the dataset folder should be oroginal images in a `classification_raw` folder and the `classification-annotations.txt` file.

These annotation workflows are opinionated and optimized for specific labeling tasks I have used.

If your requirements differ from these, you can just fork and modify the code.

If you think your modifications could also be useful to others and you want to share them, feel free to open a pull request.

You can also trying zero-shot labeling to pre-annotate images and then only correct the generated labels.

1. [Zero-Shot Object Detection](https://huggingface.co/models?pipeline_tag=zero-shot-object-detection&sort=trending)

2. [Zero-Shot Image Classification Model](https://huggingface.co/models?pipeline_tag=zero-shot-image-classification&sort=trending)