HORSES-CAMELS

HORSES-CAMELS Dataset

Datasets

HORSES-CAMELS Dataset

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HORSES-CAMELS Dataset

Use Case

HORSES-CAMELS Dataset

Description

Download our curated dataset of 400 high-quality images for binary classification of horses and camels. Perfect for testing and enhancing your machine learning models.

HORSES-CAMELS

About the Dataset:

This dataset comprises images of horses and camels, specifically curated for binary classification tasks. It is designed to challenge and enhance your machine learning models by distinguishing between two visually similar animals.

Dataset Content:

Training Data: The dataset includes a total of 400 images, each sized at 256×256 pixels. These images are equally divided into two classes:

200 images of horses

200 images of camels

Test Data: The test set contains 40 images, also at 256×256 pixels, which are evenly split between the two classes to ensure balanced evaluation.

Additional Content:

Data Quality: All images have been manually annotated to ensure high accuracy and relevance for the classification task.

Variety: The images were collected from diverse environments and angles to provide a comprehensive set of training data.

Metadata: Each image comes with metadata that includes the source, timestamp, and annotations, aiding in better data analysis and model training.

Acknowledgements:

We appreciate any feedback or contributions to this dataset. If you use this dataset for research or commercial purposes, kindly acknowledge the source.

Inspiration:

This dataset poses a significant challenge for binary classification due to the visual similarities between horses and camels. It is an excellent resource for testing the robustness and accuracy of machine learning algorithms, providing a practical problem for image classification enthusiasts and researchers.

Applications:

Academic Research: Suitable for projects in computer vision and machine learning.

Model Evaluation: Ideal for benchmarking binary classification models.

Algorithm Development: Helps in developing and refining image recognition algorithms.

Access and Usage:

The dataset is freely available for download at GTS Dataset Download Page. We encourage the community to engage with the dataset and share their findings and improvements.

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