ImageAI is a Python library that enables developers to easily build applications and systems with built-in Computer Vision capabilities. It supports tasks such as image prediction, object detection, video object detection, and custom model training. The library provides a user-friendly API and supports state-of-the-art deep learning algorithms trained on popular datasets like ImageNet and COCO. ImageAI is designed to be simple to use, even for beginners, and supports popular deep learning frameworks such as TensorFlow and PyTorch.
Features
- Image Classification with algorithms like MobileNetV2, ResNet50, InceptionV3, and DenseNet121
- Object Detection with RetinaNet, YOLOv3, and TinyYOLOv3
- Video Object Detection and Analysis using RetinaNet
- Custom Classification model training with MobileNetV2, ResNet50, InceptionV3, and DenseNet
- Custom Object Detection with YOLOv3 or TinyYOLOv3 trained on custom datasets
Use Cases
- Building applications and systems with Computer Vision capabilities
- Image classification and prediction
- Object detection in images and videos
- Training custom models for specific object detection or classification tasks
Suited For
- Developers
- Data scientists
- Researchers
- Students