qanastek/HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
This tool helps researchers and AI practitioners quickly develop and deploy advanced computer vision systems. You provide image datasets, and it helps you train models for tasks like image classification (e.g., detecting medical conditions from X-rays) or object detection (e.g., identifying blood cells). The output is a trained model ready to make predictions on new images.
199 stars. No commits in the last 6 months.
Use this if you need to build and experiment with state-of-the-art computer vision models using image data, without getting bogged down in complex coding.
Not ideal if you are a beginner with no programming experience, as it requires basic Python knowledge and environment setup.
Stars
199
Forks
21
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 13, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/qanastek/HugsVision"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alibaba/EasyCV
An all-in-one toolkit for computer vision
YuqingWang1029/VisTR
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
EMalagoli92/GCViT-TensorFlow
TensorFlow 2.X reimplementation of Global Context Vision Transformers, Ali Hatamizadeh, Hongxu...
kode-git/vfer
Building a real-time environment using webcam frame division in OpenCV and classify cropped...
RubenCasal/owl_vit_detector
NanoOWL Detection System enables real-time open-vocabulary object detection in ROS 2 using a...