Showing 1-20 of 22 projects
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
Segmentation models with pretrained backbones for image processing and computer vision tasks.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
A powerful TensorFlow implementation of the Faster R-CNN object detection algorithm.
YOLOv5-Lite is a lightweight object detection model optimized for mobile and embedded devices.
A C++ library for real-time multiple object tracking using the Hungarian algorithm and Kalman filters.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
A highly efficient and compact MobileNet-based object detection model for real-time inference on mobile devices.
An open-source YOLO object detection library for training custom models on any dataset, with various backend support.
A PyTorch implementation of the YOLOv4 object detection model with support for various attention mechanisms and mobile models.
MobileNet is a lightweight deep learning model for mobile and embedded vision applications built with TensorFlow.
A computer vision and deep learning-based face mask detection system using OpenCV and TensorFlow/Keras.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
A PyTorch-based object detection library with a Receptive Field Block Network for fast and accurate performance.
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
Caffe implementation of Google's MobileNets (v1 and v2) for image classification and computer vision tasks.
Fast and flexible human pose estimation library for computer vision applications
Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
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