instance-segmentation

Ultralytics 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.

We write your reusable computer vision tools. 💜

OpenMMLab Detection Toolbox and Benchmark

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible 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]

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

Images to inference with no labeling (use foundation models to train supervised models).

Unofficial implemention of lanenet model for real time lane detection

Turn any computer or edge device into a command center for your computer vision projects.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).

This repository provides a comprehensive step-by-step guide to building AI projects using the Raspberry Pi AI Kit.

A Simple, Lightweight, and Extensible Serving Framework for X-AnyLabeling