HirataYurina/yoloV4-keras-techi
yoloV4 implemented by keras and tf backend. Enjoy it, my homie.
This project helps you train a system to automatically detect and identify specific objects within images or video frames. You provide a collection of images with the objects you want to find marked, and it generates a model that can then detect those objects in new, unseen images. This is useful for engineers, safety managers, or anyone needing automated visual inspection for specific items like safety gear or potential hazards.
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Use this if you need to build a custom, high-speed object detection system for specific items, like identifying safety equipment or dangerous conditions, from your own image data.
Not ideal if you're looking for a pre-trained model for common objects (like cars or people) without needing to train on your own custom dataset, or if you don't have labeled image data.
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Language
Python
License
MIT
Category
Last pushed
Nov 25, 2020
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