TFJS-object-detection VS ybat

Compare TFJS-object-detection vs ybat and see what are their differences.

TFJS-object-detection

Real-time custom object detection in the browser using tensorflow.js (by hugozanini)
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TFJS-object-detection ybat
1 1
108 230
- -
0.0 0.0
5 months ago about 1 year ago
JavaScript JavaScript
Apache License 2.0 MIT License
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TFJS-object-detection

Posts with mentions or reviews of TFJS-object-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-28.
  • Cannot read property 'children' of undefined with using Tensorflow Object Detection API model in tfjs
    2 projects | reddit.com/r/tensorflow | 28 May 2021
    Describe the current behavior I used transfer learning using a pretrained model from the Tensorflow Object Detection API, which i converted to tensorflow-js using the tensorflow-converter API in python. View the ipynb notebook HERE. I then followed @hugozanini's REPO which had a template for using your tensorflow object detection models in javascript; I copied the index.json file and put it into a sandbox, replacing his model.json file with mine. The repo which contains it can be found here

ybat

Posts with mentions or reviews of ybat. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ybat yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing TFJS-object-detection and ybat you can also consider the following projects:

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

labelbox - Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Alturos.Yolo - C# Yolo Darknet Wrapper (real-time object detection)

handpose-facemesh-demos - 🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh

screenity - The most powerful screen recorder & annotation tool for Chrome 🎥

Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.