imneonizer/pytorch-triplet-loss
Birds 400-Species Image Classification using Pytorch Metric Learning (Triplet Margin Loss)
This project helps ornithologists, wildlife conservationists, or nature enthusiasts organize and identify bird species from large collections of images. You input bird images, and it outputs a system that can group similar birds together or identify a bird in a new image by comparing it to known examples. This is ideal for anyone working with extensive image datasets where accurate classification of visual information is crucial.
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Use this if you need to build a system that can recognize and categorize a very large number of bird species, especially when you might have limited examples for some species.
Not ideal if your image dataset is small, or if you are not dealing with a large number of distinct visual categories like bird species.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Nov 01, 2022
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