osmr/imgclsmob
Sandbox for training deep learning networks
This project helps machine learning engineers and researchers accelerate their computer vision work. It provides ready-to-use implementations of various deep learning networks, like those used for image classification or object detection. You input your image datasets, and the project outputs trained models or predictions, saving time on model re-implementation across different frameworks.
3,018 stars. No commits in the last 6 months.
Use this if you need pre-built, production-ready deep learning models for computer vision tasks across multiple popular frameworks, and you want to quickly train or evaluate them on your own data.
Not ideal if you are looking for a simple, no-code solution for basic image processing without diving into deep learning frameworks.
Stars
3,018
Forks
559
Language
Python
License
MIT
Category
Last pushed
Sep 06, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/osmr/imgclsmob"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
opencv/opencv
Open Source Computer Vision Library
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™