Every motion dataset in one place: 3D previews, measured hours, quality red flags. Human bodies, hands, interaction, animals, objects and robots.
Generative Fill, object removal and Generative Expand for GIMP 3. A free, local alternative to Photoshop's AI tools, using Stable Diffusion through ComfyUI.
Pull-based C2 framework with ten native transports, concurrent multi-profile handlers, and end-to-end ECDSA-signed tasking. Single Go binary agent with every property baked in at build time. Multi-operator team server with RBAC, audit chain, and a Qt/CLI console. Linux + Windows, amd64 + arm64.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 โ object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. ๐
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
NVR with realtime local object detection for IP cameras
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
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.
Fast and Accurate ML in 3 Lines of Code
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.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
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A lightweight library for converting complex objects to and from simple Python datatypes.
CaptainHook TweakใLogos Tweak and Command-line ToolใPatch iOS Apps, Without Jailbreak.
All-in-One Development Tool based on PaddlePaddle
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. ๐ฅ ๐ฅ ๐ฅ
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Most popular metrics used to evaluate object detection algorithms.
Manipulation and analysis of geometric objects
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial ๐https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
Per object permissions for Django
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Contrastive Language Models (CLMs) are a new class of System One model trained with a contrastive learning objective that connects states and actions.
Images to inference with no labeling (use foundation models to train supervised models).
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
CodeChecker is an analyzer tooling, defect database and viewer extension for static and dynamic analyzer tools.
An object-oriented algebraic modeling language in Python for structured optimization problems.
Turn any computer or edge device into a command center for your computer vision projects.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
A ComfyUI custom node designed for advanced image background removal and object, face, clothes, and fashion segmentation, utilizing multiple models including RMBG-2.0, VRMBG-3.0, FeyNoBg, Finegrain Box Segmenter, INSPYRENET, BEN, BEN2, BiRefNet, Lucida, SDMatte, SAM, SAM2, SAM3, Florence-2, YOLOv8/YOLO11, Big-Lama, and GroundingDINO.
Add object detection, tracking, mobile notifications, and search to any security camera.
CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Improved Django model inheritance with automatic downcasting
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ๐26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. ๐ Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Open specification for defining and expressing service level objectives (SLO)
PostgreSQLยฎ backup and restore service
:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
A Django app that keeps a log of changes made to an object.
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.
Object mapping, and more, for Redis and Python
Frigate integration for Home Assistant
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Multi-objective Gymnasium environments for reinforcement learning
Neural Network Compression Framework for enhanced OpenVINOโข inference
Object-oriented file system path manipulation
A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.