SPOT-10

Animal Pattern Benchmark Dataset for Machine Learning Algorithms

Dataset Information
Modalities
Images
Languages
English
Introduced
2024
License
CC BY-SA
Homepage
Official Website
Contents

Overview

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species. Specifically, SPOTS-10 contains 50,000 32 x 32 grayscale images, divided into ten categories, with 5,000 images per category. The training set comprises 40,000 images, while the test set contains 10,000 images. The SPOTS-10 dataset is freely available on the project GitHub page: https://github.com/amotica/spots-10 by cloning the repository.

Variants: SPOT-10

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Classification DenseNet121 Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification ResNet101V2 Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification ResNet50V2 Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification MobileNet Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification MobileNetV3Small Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification MobileNetV3Large Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification NASNetMobile Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification MobileNetV2 Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28
Classification ResNet50 Distiller SPOTS-10: Animal Pattern Benchmark Dataset … 2024-10-28

Research Papers

Recent papers with results on this dataset:

External Links: