Ultralytics YOLO11 🚀

OpenMMLab Detection Toolbox and Benchmark

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

We write your reusable computer vision tools. 💜

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

A simple, fully convolutional model for real-time instance segmentation.

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

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

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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

A Simple and Versatile Framework for Object Detection and Instance Recognition

Unofficial implemention of lanenet model for real time lane detection

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

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.