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https://github.com/mdhmz1/Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
https://github.com/mdhmz1/Auto-Annotate
deep-learning hacktoberfest image-processing machine-learning object-detection
Last synced: 2 months ago
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Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
- Host: GitHub
- URL: https://github.com/mdhmz1/Auto-Annotate
- Owner: mdhmz1
- License: mit
- Created: 2020-10-10T18:35:06.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-10-07T23:01:37.000Z (over 2 years ago)
- Last Synced: 2024-08-02T15:56:40.650Z (5 months ago)
- Topics: deep-learning, hacktoberfest, image-processing, machine-learning, object-detection
- Language: Python
- Homepage:
- Size: 3.74 MB
- Stars: 177
- Watchers: 2
- Forks: 29
- Open Issues: 10
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Metadata Files:
- Readme: README.md
- License: LICENSE