Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

deep learning for image processing including classification and object-detection etc.

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

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

:metal: awesome-semantic-segmentation

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

No description available

Pytorch implementation of convolutional neural network visualization techniques

BoxMOT: Pluggable SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

All-in-One Development Tool based on PaddlePaddle

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

unet for image segmentation

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.