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Dog Breed Classification ๐Ÿถ ๐Ÿฅ‡

  • Detector : DetiontionTransformer (DETR)
  • Classifier : ConvNextV2 / ConvolutionalAutoEncoder (full-architecture)

ConvNextV2 Proposed Component

  • FCMAE : Fully Convolutional Masked Autoencoder
  • GRN : Global Response Normalization

Masked Autoencoder ConvNext Block

Web Application Demo

For Demo Web Application, You can enter it via main dog-breed-classification webapp or dog-breed-classification sub in case that the first url is crash

Sample Prediction Probability Distribution

Contributors

Citations

If you use ConvNextV2-Large-DogBreed in your project or publication, please cite the model as follows

Pavaris Ruangchutiphophan. ConvNextV2-large-DogBreed (Revision 3ddd523). Huggingface, 2023, http://doi.org/10.57967/hf/1288 

or BibTeX entry:

@misc {pavaris_ruangchutiphophan_2023,
	author       = { {Pavaris Ruangchutiphophan} },
	title        = { ConvNextV2-large-DogBreed (Revision 3ddd523) },
	year         = 2023,
	url          = { https://huggingface.co/Pavarissy/ConvNextV2-large-DogBreed },
	doi          = { 10.57967/hf/1288 },
	publisher    = { Hugging Face }
}

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Dog Breed Classification utilizing DetectionTransformer & ConvNext / Convolutional AutoEncoder architecture deployed as Web Application Demo ๐Ÿช–๐ŸŽ–๏ธ

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