gluon-cv VS ImageAI

Compare gluon-cv vs ImageAI and see what are their differences.

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gluon-cv ImageAI
1 12
5,751 8,398
0.9% -
1.8 4.5
over 1 year ago about 1 month ago
Python Python
Apache License 2.0 MIT License
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.

gluon-cv

Posts with mentions or reviews of gluon-cv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

ImageAI

Posts with mentions or reviews of ImageAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-27.

What are some alternatives?

When comparing gluon-cv and ImageAI you can also consider the following projects:

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

OpenCV - Open Source Computer Vision Library

photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)

TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection

VolleyVision - Applying Deep Learning Approaches to Volleyball Data

nsfw_model - Keras model of NSFW detector

hagrid - HAnd Gesture Recognition Image Dataset

FATE - An Industrial Grade Federated Learning Framework

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

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images