
RogerKoala/gen1-pokemon-classifier
Image Classification
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image
imagewidth (px) 224
224
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class label 151
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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0Abra
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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1Aerodactyl
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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2Alakazam
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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3Arbok
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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4Arcanine
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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5Articuno
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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6Beedrill
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7Bellsprout
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7Bellsprout
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7Bellsprout
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7Bellsprout
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7Bellsprout
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All images used to train and validate the classifier were collected by me using custom scripts from
A total of 3,089 Pokémon images were collected from multiple websites, with the background removed from some of them. All images were then normalized to a resolution of 224x224 pixels.
The dataset is divided into:
Explore the model training and inference workflow in this interactive notebook:
DenseNet121 neural network to create a Pokédex:
Visit the live Space to try it out: