Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。
Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp
A compact PyTorch project for MNIST experiments that combines practical, sometimes underused techniques to achieve strong results.
This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieve…
🧁 State-of-the-art hybrid ensemble for the impossible classification task • Swin-V2 + ConvNeXt with 12-pass saccadic TTA • 90%+ accuracy on muffin vs chihuahua challenge
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