Object Detection in 60 Seconds using Python and YOLOv5 #shorts

let's do some object detection with python in 60 seconds we're going to use the open source package yolo v5 which makes object detection really easy first all we have to do is git clone this repo now i can cd into this directory and in this directory there's a python file called detect.py we just need to call python and this detect.py file we can provide it weights and the source which is my second webcam here in a few seconds a window comes up showing object detection this model comes pre-trained on specific objects but you can train it on your own data set you don't have to use your webcam you can run it on a video file just add view image to see the image as it detects this footage of a car driving shows all the detected objects subscribe to my channel to see a longer youtube tutorial on running object detection

Channel: Rob Mulla

Views: 135,241

Keywords: object detection, deep learning, machine learning, computer vision, yolov5 object detection, data science, yolov5 custom object detection, yolov5 tutorial, object detection pytorch, image recognition, learn code, artificial intelligence, image processing, rob mulla, object detection python, object detection yolo code, yolo object detection python

Id: ocA30qI9Z-M

Length: 0min 53sec (53 seconds)

Published: Sat Jun 18 2022