ImageAI 2.0.2

Easy to use Computer Vision Library for state-of-the-art Artificial Intelligence.

♦ Image Recognition

♦ Object Detection

♦ Video Detection & Analysis

♦ Custom Image Recognition & more...


Developed & Maintained by DeepQuest AI

            ImageAI is an easy to use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find below features supported, links to official documentations as well as articles on ImageAI

ImageAI in Numbers

1900+ GitHub Stars

100,000+ Downloads

230,000+ Article Views

10 months Old


Image Recognition

ImageAI provides API to recognize 1000 different objects in a picture using pre-trained models that were trained on the ImageNet-1000 dataset. The model implementations provided are SqueezeNet, ResNet, InceptionV3 and DenseNet.

Object Detection

ImageAI provides API to detect, locate and identify 80 most common objects in everyday life in a picture using pre-trained models that were trained on the COCO Dataset. The model implementations provided include RetinaNet, YOLOv3 and TinyYOLOv3.

Video Detection and Analysis

ImageAI provides an extended API to detect, locate and identify 80 objects in videos and retrieve full analytical data on every frame, second and minute. This feature is supported for video files, device camera and IP camera live feed.

Custom Image Recognition

ImageAI provides API to train new image recognition models on new image datasets for custom use cases. It also provides implementations to integrate and deploy the custom image recognition models.


Multilingual Documentations

ImageAI API documentations are available in English and Chinese languages. Work is ongoing to add more languages soon.


Object Detection with 10 lines of code

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Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI

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Train Image Recognition AI with 5 lines of code

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Bringing Machine Learning to Practice in Organizations: A Framework

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Object Detection - Image Analysis

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Understanding and Building an Object Detection Model from Scratch in Python

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