Showing 1-20 of 30 projects
YOLO models for computer vision tasks
Reusable computer vision tools for developers
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
Mask R-CNN for object detection and instance segmentation using Keras and TensorFlow
A Python library for image polygonal annotation with support for various shapes and flags.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
Effortless data labeling with AI support from Segment Anything and other powerful models.
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
A high-performance real-time instance segmentation library for computer vision applications.
List of satellite image training datasets with annotations for computer vision and deep learning
AdelaiDet is an open-source toolbox for instance-level detection and recognition tasks, including object detection and text recognition.
Python/C++ Visual SLAM pipeline for 3D reconstruction
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
A Simple and Versatile Framework for Object Detection and Instance Recognition
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
Unofficial implementation of the LaneNet model for real-time lane detection in self-driving car applications.
Turn any computer or edge device into a command center for your computer vision projects.
SOLO and SOLOv2 are instance segmentation models for computer vision tasks, built with PyTorch.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.
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