Object Detection Using YOLOv4-tiny | Part 1

YOLOv4-tiny is the compressed version of YOLOv4.
It has only two YOLO heads as opposed to three in YOLOv4
It has been trained from 29 pre-trained convolutional layers as opposed to YOLOv4 which has been trained from 137 pre-trained convolutional layers.
Due to reduced parameters, it becomes feasible for developing on mobile and embedded devices.
We can use YOLOv4-tiny for much faster training and much faster detection.

Github: https://github.com/AarohiSingla/Object-Detection-Using-yolov4-tiny

Part 2 of this video : https://youtu.be/Bf2lrrdkpgs


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