DataTurks VS live-digit-recognition

Compare DataTurks vs live-digit-recognition and see what are their differences.

DataTurks

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours. (by DataTurks)
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DataTurks live-digit-recognition
1 4
255 42
- -
0.0 0.0
over 2 years ago about 2 years ago
JavaScript JavaScript
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DataTurks

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

live-digit-recognition

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

What are some alternatives?

When comparing DataTurks and live-digit-recognition you can also consider the following projects:

labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK

process-google-dataset - Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension and a simple Python code.

wink-nlp - Developer friendly Natural Language Processing ✨

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

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

tensorflow-assisted-image-organizer - Reducing the amount of work needed to sort out jumbled images in a folder.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

teachable-machine - A repo for PyPI package to simplify the deployment of exported Teachable Machine models into different environments like PC, Raspberry Pi and so on.