RichM1216/ML-Image
An image classification project utilizing PyTorch and torchvision, featuring transfer learning with models like VGG, AlexNet, and ResNet. The project includes organized datasets and scripts for training and evaluation.
This project helps you quickly set up and train a system to automatically categorize images. You provide a collection of images that you've already labeled (e.g., 'cat,' 'dog,' 'flower'), and it uses powerful pre-built models to learn how to identify those categories in new images. This is for machine learning practitioners or researchers who need to classify images efficiently without building a model from scratch.
No commits in the last 6 months.
Use this if you have a dataset of labeled images and want to train a robust image classification model using established deep learning architectures and transfer learning techniques.
Not ideal if you're looking for a no-code solution or if your primary goal is to build custom neural network architectures from the ground up.
Stars
9
Forks
—
Language
Python
License
—
Category
Last pushed
Aug 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RichM1216/ML-Image"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow