Cat Dataset
This dataset contains nearly 30,000 color images of cats, covering a variety of breeds, poses, lighting, and backgrounds. It is intended for training models in classification, object detection and segmentation in the animal field.
Description
Cat Dataset is a diverse set of images containing 29,843 color photos of cats in 64x64 pixel resolution. The dataset features various races, poses, backgrounds, and lighting conditions, ideal for computer vision tasks.
What is this dataset for?
- Train animal image classification models
- Develop algorithms for detecting specific objects (cats)
- Experimenting with image segmentation in an animal context
Can it be enriched or improved?
The dataset can be enriched by adding detailed annotations such as cat breeds, age or sex, as well as by images in high resolution or in various light conditions.
🔎 In summary
🧠 Recommended for
- Computer vision students
- Animal AI researchers
- Image application developers
🔧 Compatible tools
- TensorFlow
- PyTorch
- Keras
- OpenCV
💡 Tip
Use image augmentation techniques to enrich the diversity of training data.
Frequently Asked Questions
What is the resolution of the images in this dataset?
All images are in 64x64 pixels, color.
Does this dataset contain annotations on cat breeds?
No, annotations are basic; additional metadata could be added.
Is this dataset suitable for object detection projects?
Yes, it is suitable for the classification, detection and segmentation of cat images.
