Showing 21-40 of 170 projects
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
A comprehensive repository for computer vision best practices, code samples, and documentation.
Official implementation of the paper 'Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection'.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
A Python library that empowers developers to build applications and systems with self-contained computer vision capabilities.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
Effortless data labeling with AI support from Segment Anything and other powerful models.
Provides AI-powered tools and samples for developers to build cutting-edge applications with Microsoft AI.
A curated list of awesome object detection resources and libraries for computer vision and deep learning.
A deep learning and reinforcement learning library for scientists and engineers, with support for TensorFlow.
A repository that collects computer vision, deep learning, and machine learning research papers for developers.
Google Brain's AutoML is a library for building and deploying custom AI models using state-of-the-art computer vision techniques.
PaddleX is an all-in-one development tool based on PaddlePaddle, providing AI pipelines for computer vision, NLP, and more.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
A high-performance object detection framework for industrial applications, built with PyTorch.
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
A unified toolkit for deep learning-based document image analysis and layout parsing.
A toolbox for 3D object detection using LiDAR point clouds, focused on autonomous driving use cases.
A PyTorch reimplementation of the EfficientDet object detection model with SOTA performance in real-time.
A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
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