cutmix-augmentation
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In this project we use a Lightweight-CNN based model to classify instruments from the Freesound audio data set. We make use of Mel-Spectrogram features from the input audio data as the input to the CNN model. To add robustness to the model, we use a novel data augmentation technique based on the Cut-Mix algorithm.
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Sep 21, 2021 - Jupyter Notebook
Implementation of CutMix Augmentation with Keras.
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Jun 14, 2021 - Jupyter Notebook
Through this project we will try to understand CutMix by implementing it on a simple problem of cat-vs-dog classification.
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Dec 6, 2022 - Jupyter Notebook
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…
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Jul 2, 2022 - Jupyter Notebook
Python codes to implement DeMix, a DETR assisted CutMix method for image data augmentation
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Jun 7, 2023 - Python
Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp
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Feb 29, 2024 - Jupyter Notebook
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