GitHub / SubhangiSati / Classification-of-Venomous-and-non-venomous-snakes
This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2
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PURL: pkg:github/SubhangiSati/Classification-of-Venomous-and-non-venomous-snakes
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 816 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 6 months ago
Pushed at: about 1 year ago
Last synced at: 5 months ago
Topics: binary-image-classification, classification, cnn-classification, cnn-keras, computer-vision, convolutional-neural-network, cv2, data-science, deep-neural-networks, keras-tensorflow, matplotlib, mobilenetv2, neural-network, numpy-library, pandas-dataframe, tensorflow, transfer-learning