A state-of-the-art, real-time object detection system that is able to recognize objects in images and video at high speeds. YOLO is novel because it frames object detection as a single regression problem, straight from image pixels to bounding box coordinates and class probabilities.
A highly optimized library with focus on real-time applications. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and ma...
A framework built on top of TensorFlow that makes it easy to construct, train, and deploy object detection models. It includes a collection of pre-tra...
A part of the PyTorch project, PyTorch Vision is a library that contains popular datasets, model architectures, and common image transformations for c...
Built on PyTorch, FastAI simplifies training neural networks using modern best practices. It's designed to support both deep learning and computer vis...
A state-of-art deep learning model for semantic image segmentation, where the goal is to assign semantic labels (e.g., cat, dog, car) to every pixel i...