An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are fast, accurate, and easy to use.
Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve Labs, Runway, and Descript.
We are your essential toolkit for computer vision. From data loading to real-time zone counting, we provide the building blocks so you can focus on building applications around your models. 🤝
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use. Try our online demos: whisper, LLaMA2, T5, yolo, Segment Anything.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Ultralytics YOLOv5 🚀 is a fast, accurate, and easy-to-use computer vision model developed by Ultralytics. Based on the PyTorch framework, YOLOv5 is renowned for its speed, accuracy, and simplicity.
YOLOE(ye) is a highly efficient, unified, and open object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like texts, visual inputs, and prompt-free paradigm, with zero inference and transferring overhead…
deep learning for image processing including classification and object-detection etc.
3 快速搭建你的第一个系统，并进行迭代(Build your first system quickly, then iterate)
Ultralytics YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time object detection model.
🚀 100% Open Source · Embodied AI · Full Hardware + Software Stack
MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.
Official YOLOv7 is more accurate and faster than YOLOv5 by 120% FPS, than YOLOX by 180% FPS, than Dual-Swin-T by 1200% FPS, than ConvNext by 550% FPS, than SWIN-L by 500% FPS.
\ It is written in Python and uses Qt for its graphical interface.
🔥🔥🔥 MinerU: Efficient Document Content Extraction Tool Based on PDF-Extract-Kit
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: