A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A generator help you spawn key word for AI drawing

A tool to help you get image info.

Simple whatsapp chatbot for send and receive response from openai.

IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.

Action-Net is a dataset containing images of 16 different human actions.

This project offers two Flask applications that utilize ImageAI's image prediction algorithms and object detection models. These apps enable users to upload images and videos for object recognition, detection and analysis, providing accurate prediction results, confidence scores, raw data of detected objects at frame-level, and object insights.

Complete proof of concept combining artificial intelligence, machine learning, and thousands of publicly available traffic cameras to place an entire city under surveillance with inference bots watching for a stolen car every single moment.

🤖 Autonomous Drone DJI Tello with OpenCv and ImageAI

Python application to detect people carrying Fire Arms in videos using ImageAI.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities.

Simple application for recognizing objects in images

Video Classification in ImageAI

Telegram bot is able to recognize the image in the picture (In my case, the bot is able to recognize four brands of cars)

imageai物体识别，小demo，封装成pyqt5界面，采用mvc模型，简单实用。

Object recognition in just 20 lines of code.

Computer Vision Basics to advanced. My journey through this subfield of AI

Get instant wildlife insight with our AI tool! Simply snap a photo of any animal and learn its species, genus, endangerment status and fascinating facts in seconds. Made for the MacHacks 3 hackathon.

Basic Object detection with python from image

Building an Object Detection API with ImageAI modules and wrapping it in a Docker Image