YoloV7 in Tensorflow.js

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Hugo Zanini

Added on September 14, 2024

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.

YoloV7 in Tensorflow.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.

Hugo Zanini

README.md

Real-time Object Detection in the browser with 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.

Qries Qries

See more examples here.

References

Official YOLOv7

Object Detection using YOLOv5 and Tensorflow.js

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.


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