visipedia/newt
Natural World Tasks
This project offers a standardized collection of 164 binary image classification tasks specifically for natural world images. It takes in a dataset of images and corresponding labels to help you evaluate and compare different machine learning models designed for tasks like identifying species, assessing animal age, or recognizing environmental contexts. Scientists, conservationists, or researchers working with large natural world image collections would use this.
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Use this if you need to benchmark the performance of your image classification models on diverse, real-world natural imagery.
Not ideal if you are looking for tools to automatically train a model or to perform general-purpose image classification outside of the natural world domain.
Stars
43
Forks
9
Language
Python
License
MIT
Category
Last pushed
Oct 02, 2023
Commits (30d)
0
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