recognize VS ailia-models

Compare recognize vs ailia-models and see what are their differences.

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recognize ailia-models
1 4
132 1,825
- 2.4%
10.0 9.8
over 1 year ago 5 days ago
PureBasic Python
GNU Affero General Public License v3.0 -
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.

recognize

Posts with mentions or reviews of recognize. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-21.

ailia-models

Posts with mentions or reviews of ailia-models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-20.

What are some alternatives?

When comparing recognize and ailia-models you can also consider the following projects:

recognize - 👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres

DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

awesome-deep-learning-music - List of articles related to deep learning applied to music

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨

Put-In-Context - Putting Visual Object Recognition in Context

robotics-level-4 - This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

cloud-services-backup-cli - A CLI for backing up your data from popular cloud services to a home server.

mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!

PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.

Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.