WebFlower Classifier. This repository hosts a Colab notebook which trains a model to recognise flowers from Oxford's 102 Cateogry Flower Dataset. I use a convolutional neural network with cyclical learning rates in order to achieve an accuracy of 97.3% on the validation set. This far exceeds the 72.8% accuracy achieved with featurization ... WebNov 17, 2024 · Flower Dataset. We use the Oxford Flower 102 dataset from the Oxford 102 Flower PyTorch Kaggle competition for building the natural flower classifier using Amazon Rekognition Custom Labels. We use this instead of the original dataset from the Visual Geometry Group, University of Oxford, because it has already been split into train, valid, …
Flower Dataset 102 Kaggle
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BETTYE’S FLOWER DESIGN - 102 Photos - Yelp
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