Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — 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.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
A simplified implemention of Faster R-CNN that replicate performance from origin paper
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
Add object detection, tracking, mobile notifications, and search to any security camera.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
Implementation of the Mask R-CNN model using OCaml's numerical library Owl.