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- W4313591419 abstract "Technology is changing the way humans live each day and is also helping transform the area of Agriculture. Sensors, Cameras, and Drones have significantly reduced the physical labor required in Agriculture. There is an opportunity to create a scalable facial recognition solution that will be able to correctly identify individual cattle in a herd. This will allow farmers to effectively manage data regarding their herd. This research aims to evaluate the effectiveness of applying a Convolutional Siamese Neural Network to this problem area. A bespoke dataset containing 32 individual cows was created and evaluated in this research. The Siamese Network was evaluated against validation and test data, the model produced an accuracy result of 90%." @default.
- W4313591419 created "2023-01-06" @default.
- W4313591419 creator A5035480186 @default.
- W4313591419 creator A5037078668 @default.
- W4313591419 date "2022-11-29" @default.
- W4313591419 modified "2023-10-17" @default.
- W4313591419 title "Using Deep Learning for Facial Recognition: Implementing a Convolutional Siamese Neural Network in a Facial Recognition System for Cattle" @default.
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- W4313591419 doi "https://doi.org/10.1109/smartnets55823.2022.9994007" @default.
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