Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
- yolov5
- object-detection
- pytorch
- onnx
OpenMMLab Detection Toolbox and Benchmark
- object-detection
- instance-segmentation
- fast-rcnn
- faster-rcnn
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
- dnn
- deep-learning
- deep-neural-networks
- deep-learning-tutorial
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- yolov3
- object-detection
- yolo
- deep-learning
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
- yolov9
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
- artificial-intelligence
- machine-learning
- prediction
- image-prediction
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
- deep-neural-networks
- deep-learning
- object-detection
- anchor-free
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
A Unified Toolkit for Deep Learning Based Document Image Analysis
- layout-analysis
- deep-learning
- object-detection
- ocr
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
- object-detection
- instance-segmentation
- computer-vision
- small-object-detection
A PyTorch Implementation of Single Shot MultiBox Detector
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
- deep-learning
- autonomous-driving
- computer-vision
- object-detection
Single Shot MultiBox Detector in TensorFlow
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
- object-detection
- pytorch
- yolo
- yolov5
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.
World's first general purpose 3D object detection codebse.
- nuscenes
- 3d-object-detection
- point-cloud
- object-detection
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
Build fully-functioning computer vision models with PyTorch