Kacper-Marciniak/YOLOv8-Framework
Framework for object detection and instance segmentation models from the YOLOv8 family with SAM support
This project helps anyone who needs to automatically find and precisely outline specific objects in images or video streams. You can input a collection of images and their corresponding labels, train a model to recognize your target objects, and then use that model to detect and segment those objects in new images or live camera feeds. This is ideal for roles like quality control inspectors, surveillance analysts, or researchers in fields like biology or manufacturing.
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Use this if you need to train a custom object detection and instance segmentation model from scratch, or fine-tune an existing YOLOv8 model, for specific objects in your visual data.
Not ideal if you simply need to use a pre-trained, general-purpose object detection model without any custom training or model development.
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Python
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Last pushed
May 13, 2025
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