SkalskiP/SoM

Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️

25
/ 100
Experimental

This tool helps researchers and computer vision practitioners automatically identify and label objects within images. You provide an image and specify size criteria for the objects you're interested in, and the tool outputs the same image with bounding boxes around those detected objects. It's ideal for anyone who needs to quickly highlight or segment specific elements in a visual dataset for further analysis.

No commits in the last 6 months.

Use this if you need to quickly detect and mark objects in images based on their size, without extensive manual annotation.

Not ideal if you require highly precise, custom object segmentation or detection for objects with very subtle differences that can't be distinguished by size.

image-analysis object-detection computer-vision visual-data-labeling research-prototyping
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 8 / 25

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Last pushed

Oct 20, 2023

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