OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](https://travis-ci.com/OlafenwaMoses/ImageAI) [](https://github.com/OlafenwaMoses/ImageAI/blob/master/LICENSE) [](https://badge.fury.io/py/imageai) [](https://pepy.tech/project/imageai) [](https://pepy.tech/project/imageai) An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. If you will like to sponsor this project, kindly visit the Github sponsor page. We the creators of ImageAI are glad to announce 2 new AI projects to provide state-of-the-art Generative AI, LLM and Image Understanding on your personal computer and servers. [](https://jarvis.genxr.co) Install Jarvis on PC/Mac to setup limitless access to LLM powered AI Chats for your every day work, research and generative AI needs with 100% privacy and full offline capability. Visit https://jarvis.genxr.co to get started. [](https://www.genxr.co/theia-engine) TheiaEngine, the next-generation computer Vision AI API capable of all Generative and Understanding computer vision tasks in a single API call and available via REST API to all programming languages. Features include Visit https://www.genxr.co/theia-engine to try the demo…
Read the full README ↗ · Preview checked 2026-10-28T08:26:54.254Z
Inside the original README — Document outline
- ImageAI (v3.0.3)
- ---------------------------------------------------
- Introducing Jarvis and TheiaEngine.
- ---------------------------------------------------
- TABLE OF CONTENTS
- Installation
- Features
- Documentation
- Sponsors
- Real-Time and High Performance Implementation
- Projects Built on ImageAI
- AI Practice Recommendations
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Repository facts
- Owner
- OlafenwaMoses
- Primary language
- Python
- Stars
- 8,895
- Forks
- 2,173
- Open issues + pull requests
- 321
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2018-03-19T23:12:33.000Z
- Last push
- 2024-08-03T09:45:20.000Z
Topics and intended use
Owner-supplied topics: ai-practice-recommendations, algorithm, artificial-intelligence, artificial-neural-networks, densenet, detection, gpu, image-prediction, image-recognition, imageai, inceptionv3, machine-learning, object-detection, offline-capable, prediction, python, python3, squeezenet, video
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
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