sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
inference
Turn any computer or edge device into a command center for your computer vision projects.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
socrates
Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
yeast-in-microstructures-dataset
Official and maintained implementation of the dataset paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC 2023].
https://github.com/aim-uofa/adelaidet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
tyc-dataset
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
https://github.com/albumentations-team/albumentationsx
Next-generation Albumentations: dual-licensed for open-source and commercial use
catnet
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)
https://github.com/bitdessin/justdeepit
A tool with GUI and CUI for image analysis based on deep learning
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
cell-detr
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
vayuai
Vayuvahana Technologies Private Limited presents to you VajraV1, a state-of-the-art (SOTA) real time object detection model
https://github.com/bmcv/superdsm
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
gol
Official implementation of 'Gumbel Optimised Loss for Long Tailed Instance Segmentation' ECCV2022. Paper at: https://arxiv.org/abs/2207.10936
dl-tutorials
This repository contains demonstrations done with deep learning computer vision models.
https://github.com/bethgelab/siamese-mask-rcnn
Siamese Mask R-CNN model for one-shot instance segmentation
farmland-instance-segmentation
instance segmentation in IFLYTEK farmland challenges based on mmdetection