Demo a simple flow in object detection in some scenarios approaching :
With this project i will demo the object detection with a neural network using YOLO it will use simple scenários with images and videos and the result will be a clear compreension how the process works. Also the dependencies of this project like GPU servers will be addressed on the wiki page, the dependencies are a key part in the process on optimization of the training and inference.
✅ 1- Train with anotated Images from Open Images Dataset (easy process)
✅ 2- Train with custom anotated Images from the user (hard process)
✅ 3- Inference, put the trained model detecting on image
✅ 4- Inference, put the trained model detecting on video
✅ 5- Check all Results
For the instalation clone the project and follow the Installation Section.
git clone https://github.com/mariodiasbatista/object-detection.git