This model fine-tunes microsoft/resnet-50 on the CIFAR-10 dataset using PyTorch. It is designed for robust image classification across 10 everyday object categories.
Model Details
Base Model: microsoft/resnet-50
Library Used: PyTorch
Pipeline Tag: image-classification
License: MIT
Training & Evaluation
Dataset: CIFAR-10 (60,000 images, 10 classes)
Preprocessing: Images resized to 224×224, normalized with ImageNet statistics
Augmentation: Random horizontal flip, crop, color jitter for training set
Validation/Test: No augmentation, only preprocessing
