Showing 1-19 of 19 projects
YOLO models for computer vision tasks
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
TensorRT implementation of popular deep learning networks for efficient inference on GPUs
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
A Python library focused on improving YOLO models for object detection and computer vision tasks.
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
Turn any computer or edge device into a command center for your computer vision projects.
A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
A curated collection of YOLO object detection projects and datasets for developers working with computer vision and AI.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
Universal AI Aimbot tool for gamers with impairments, built with YOLOv8 and ONNX
Official YOLOv8 model training and deployment library for computer vision tasks.
Automates Blue Archive data processing with AI-powered tools
A GUI tool for the YOLOv8 object detection model built with PySide6.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
An open-source library for object tracking using YOLOv8 and DeepSORT algorithms, suitable for vehicle counting and speed estimation applications.
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