PMC-VQA
PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.
AI summary
Medical image understanding toolkit
A medical visual question-answering dataset and toolkit for training models to understand medical images and instructions.
- stars
- 180
- forks
- 11
- watching
- 3
Similar projects
Found by comparing what the projects do, not just their names.
VQA model
A PyTorch implementation of visual question answering with multimodal representation learning
Image QA model
This project provides code for training image question answering models using stacked attention networks and convolutional neural networks.
VQA prompter
An implementation of a two-stage framework designed to prompt large language models with answer heuristics for knowledge-based visual question answering tasks.
VQA model
A Visual Question Answering model using a deeper LSTM and normalized CNN architecture.
VQA model framework
A software framework for training and deploying multimodal visual question answering models using compact bilinear pooling.
VQA system
An implementation of a VQA system using bottom-up attention, aiming to improve the efficiency and speed of visual question answering tasks.
Visual QA Model
This project presents a neural network model designed to answer visual questions by combining question and image features in a residual learning framework.
VQA system
PyTorch implementation of video question answering system based on TVQA dataset
VQA model
A multimodal LLM designed to handle text-rich visual questions
Action understanding tool
An open-source toolbox for action understanding from video data using PyTorch.
viame/viame291
CV toolkit
A comprehensive computer vision toolkit with tools and algorithms for video and image analytics in multiple environments.
VQA challenge data
A VQA dataset with unanswerable questions designed to test the limits of large models' knowledge and reasoning abilities.
Physiological analyzer
Provides standardized implementations of algorithms for non-contact physiological measurement using image analysis techniques.
hms-dbmi/viv290
Visualization toolkit
A toolkit for interactive visualization of high-resolution bioimaging data.
VQA trainer
Tools and scripts for training and evaluating a visual question answering model using transfer learning from an external data source.
