MIC-DKFZ/image_classification
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
This framework helps machine learning engineers and researchers quickly set up and run experiments for image classification and regression tasks. You provide images and corresponding labels or values, and it trains a deep learning model to categorize or predict values for new images. It's designed for practitioners who need to compare different model architectures and training strategies efficiently.
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Use this if you are developing and experimenting with deep learning models for image classification or regression and need a streamlined way to compare various architectures, augmentation techniques, and regularization methods.
Not ideal if you are a business user looking for a no-code solution to classify images, or if you need to perform object detection, segmentation, or other computer vision tasks beyond classification and regression.
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59
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2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 07, 2025
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