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GitHub / IsraelAzoulay / food-image-101-classes-classifier-computer-vision

Computer vision deep learning project classifying 101 classes of food images with 80% accuracy, built with TensorFlow. Beats the baseline accuracy of 50.76% (Food101 paper) and 77.4% (DeepFood paper).

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IsraelAzoulay%2Ffood-image-101-classes-classifier-computer-vision

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 14 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago

Topics: algorithms, artificial-intelligence, computer-vision, data-science, deep-learning, deep-neural-networks, multiclass-image-classification, python, tensorflow

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