The goal of this repo is to implement DL models for image classification in:
And to make a simple web app to display results of this models
Models are implemented from the papers with pretrained weights
tinymodels is just for learning how models actually work
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AlexNet - 2014 ✔
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GoogleNET - 2014 ✔
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VGG - 2015 ✔
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InceptionV3 - 2015 ✔
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ResNet - 2017 ✔
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DenseNet - 2018 ✔
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MobileNetV2 - 2019 ✔
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EfficientNet - 2020 ✔
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ViT - 2021 ✔
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ConvNeXt - 2022 ✔
On default app will run on port 3000. First run will take few minutes to download pretrained weights.
git clone https://github.com/filnow/tinymodels.git
cd tinymodels
pip install -r requirements.txt
python3 app.py