TruongNV-hut/AI_U_P_Cl_YOLO5_ObjectDetection_usgmsdsh
Training YOLO5 model with custom data
This helps computer vision engineers and researchers create custom object detection systems for specific scenarios. You provide a dataset of images with labeled objects, and it produces a trained YOLOv5 model capable of identifying and locating those objects in new images or video streams. This is for anyone building applications in autonomous driving, security, or robotics that require real-time object identification.
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Use this if you need to train a fast and accurate object detection model for a very specific set of objects not covered by existing models, like unique types of industrial equipment or specific wildlife.
Not ideal if you're looking for an out-of-the-box object detection solution that doesn't require custom training, or if you don't have a dataset of labeled images for your target objects.
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Python
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Last pushed
Oct 22, 2024
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