Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLO27, 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.
Rembg is a tool to remove images background
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Efficient vision foundation models for high-resolution generation and perception.
Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Manga/Comics Translation Helper Tool
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
PyTorch Connectomics: segmentation toolbox for EM connectomics
Collection of mathematical morphology methods and plugins for ImageJ
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Toolbox for the analysis of smFISH images.
Implementation of the superpixel algorithm called SEEDS [1].
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720