z-mahmud22/Mask-RCNN_TF2.14.0

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.

46
/ 100
Emerging

This project helps computer vision practitioners analyze images by automatically identifying and outlining every distinct object within them. You input an image, and it outputs both a bounding box around each detected object and a precise mask (segmentation) for each instance. This is useful for researchers, data scientists, and engineers working on detailed image analysis tasks.

No commits in the last 6 months.

Use this if you need to accurately detect multiple objects in an image and get a pixel-level outline for each individual object, not just a general category.

Not ideal if you only need a single bounding box around a general object category or if you are working with older TensorFlow 1.x environments.

image analysis object detection instance segmentation computer vision visual data processing
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

54

Forks

32

Language

Python

License

Last pushed

Apr 15, 2025

Commits (30d)

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