nobrainer
A framework for developing neural network models for 3D image processing.
rastervision
An open source library and framework for deep learning on satellite and aerial imagery.
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
topformer
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022
sc2-benchmark
[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
sssegmentation
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
https://github.com/pycroscopy/atomai
Deep and Machine Learning for Microscopy
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
building-footprint-segmentation
Building footprint segmentation from satellite and aerial imagery
hugsvision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
seglight
Super fast and real-time semantic segmentation (cpu only) can be use for 1 core cpu
sinfnet
A collection of datasets and neural networks for microorganism image classification
https://github.com/aim-uofa/genpercept
[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
https://github.com/cvi-szu/qa-clims
[ACM MM 2023] QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation
https://github.com/alexeyev/hogweed-ground-level-view
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
https://github.com/ajinkya-kulkarni/pyblendpatches
Efficiently handles large images by segmenting them into patches, performing detailed semantic segmentation, and then reconstructing the patches into a complete, segmented image.
fastseg
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Syclops
Syclops: A Modular Pipeline for Procedural Generation of Synthetic Data - Published in JOSS (2025)
gpvit
[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
ee_semantic_segmentation
This repository contains the program used to train and evaluate a Branched DNN capable of early-exit semantic segmentation, suited for an edge-cloud co-inference scenario in smart cities..
https://github.com/arbit3rr/unet-aerialsegmentation
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
semantic-segmentation-of-landcover.ai-dataset
An implementation of Deeplabv3plus in TensorFlow2 for semantic land cover segmentation
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
multiscale-adversarial-attention-gates
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
anomaly_detection_dataset__syria_war
Syria's civil war destruction dataset. It can be use for anomaly detection or semantic segmentation, as well as image classification.
aradeepopsis
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
https://github.com/cvi-szu/clims
[CVPR 2022] CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation
cv-3315-is-all-you-need
CV′3315 Is All You Need – Semantic Segmentation Course Competition @ The University of Adelaide
https://github.com/chenliu-1996/cuts
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
https://github.com/christophreich1996/oss-net
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
lim3d
🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
semantic_kitti_stats
:chart_with_downwards_trend: Get some nice plots with statistics about the Semantic KITTI dataset
diffbev
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
agml
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
dl-direct-v8
DL+DiReCT-v8 - Deep Learning-based Lesion-aware Brain Anatomy Segmentation and Parcellation Model
dl-tutorials
This repository contains demonstrations done with deep learning computer vision models.
https://github.com/ctu-vras/traversability_estimation
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
ssdf-nncore
nncore is a pytorch framework focusing on solving autonomous-driving problems.
magicbathynet
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
https://github.com/aavek/satellite-image-road-segmentation
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
https://github.com/ai-forever/segm-model
An easy-to-run semantic segmentation model based on Unet