Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.
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Updated
Jul 2, 2024 - Python
Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.
GPU-accelerated Image Processing library
The goal is to segment instances of microvascular structures, including capillaries, arterioles, and venules, to in automating the segmentation of microvasculature structures as it will improve researchers' understanding of how the blood vessels are arranged in human tissues.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
A tool for cell instance aware segmentation in densely packed 3D volumetric images
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
Open source Python library for building bioimage analysis pipelines
Create image annotations. Classify and tag images using polygons, bounding boxes, or circles.
CUDA GPU programs and Matlab invocation scripts for variations on the GrowCut cellular automaton.
This repository contains demos for papers accepted at CVPR 2024
GPU-accelerated Image Processing library using OpenCL
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Transform road scenes with "Cambridge-Driving Dataset Image Segmentation" project, utilizing DeepLabV3 and ResNet50 for precise image segmentation. This project although basic harnesses advanced computer vision techniques to classify and segment diverse road elements, enhancing autonomous driving research
Detection of dermoscopic structures for melanoma diagonsis
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Coursera - Deep Learning with PyTorch : Image Segmentation 🖼️
Tools for Plant Image Analysis
TrackNet for badminton tracking using tensorflow2
Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
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