Yolov3 based Algorithm that uses deep convolutional neural networks to perform object detection. YOLOv3 is extremely fast and accurate. In mAP measured at .5 IOU YOLOv3 is on par with Focal Loss but about 4x faster. Moreover, you can easily tradeoff between speed and accuracy simply by changing the size of the model, no retraining required!
Dependencies: - python=3.7 - pip>=19.0 - jupyter - tensorflow-gpu=2.1.0 - scikit-learn - scipy - pandas - pandas-datareader - matplotlib - pillow - tqdm - requests - h5py - pyyaml - flask - opencv
Will add another route for labeling images for your custom dataset in future.