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A model that build upon Resnet50 to classify natural scenes among 6 categories. Trained on the Intel Image Classification dataset, it gets an accuracy of 94.4% which easily breaks into the Top 50 models on the challenge leaderboard.
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A model that build upon Resnet50 to classify natural scenes from the Intel Image Classification dataset.