ModelDepot/tfjs-yolo-tiny

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

60
/ 100
Established

This project helps web developers add real-time object detection directly into their browser-based applications. It takes an image or video frame as input and outputs a list of detected objects, along with their location and class (e.g., 'person', 'car'). Web developers, particularly those building interactive front-end experiences, would use this to create dynamic visual analysis features.

534 stars and 74 monthly downloads. No commits in the last 6 months. Available on npm.

Use this if you are a web developer who needs to incorporate fast, client-side object detection into a browser application without sending data to a server.

Not ideal if you need highly accurate, production-grade object detection for critical applications, or if you require detection of objects beyond the 80 classes supported by the COCO dataset, or if you're not a JavaScript developer.

web-development front-end image-processing real-time-analytics computer-vision
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 14 / 25
Maturity 25 / 25
Community 21 / 25

How are scores calculated?

Stars

534

Forks

88

Language

JavaScript

License

MIT

Last pushed

Mar 25, 2019

Monthly downloads

74

Commits (30d)

0

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