tahaemara/yolo-custom-object-detector
Making custom object detector using Yolo (Java and Python)
This helps computer vision engineers and AI practitioners create specialized object detection models. You provide a collection of images with labeled objects, and it produces a trained model capable of identifying those specific objects in new images or video streams. This is for professionals building custom computer vision applications.
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Use this if you need to build a system that can automatically identify unique objects not covered by standard object detection models, such as specific product defects, unique animal species, or particular industrial components.
Not ideal if you're looking for a pre-trained model for common objects (like cars, people, or traffic signs) or if you don't have a dataset of labeled images for your custom objects.
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Language
Java
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Last pushed
Nov 27, 2021
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