Real-time & Offline Object Detection using YoloV7 and TF.JS

This repository is an implementation of Yolov7 using Tensorflow.js. The code runs directly on the browser and the detector was trained on the MS COCO dataset to recognizes up to 80 different classes.

See more examples here.

Acknowledgment

This code was developed under the financial assistance of the Google Developers Group, which provided all the computational resources for training and converting the models.

References

Official YOLOv7

Object Detection using YOLOv5 and Tensorflow.js