Cats and Dogs Image Collection for Classification

A large set of images of cats and dogs, with 1738 corrupted images dropped. It is intended for image classification tasks and was created by nateraw.

Use Cases

• Train a binary image classifier to distinguish between cat and dog images.
• Fine-tune a vision model on the provided image data for pet recognition.
• Use the dataset for benchmarking image classification models on a two-class problem.

Strengths

• Dataset is categorized for image classification tasks.
• A known quantity of 1738 corrupted images has been removed from the collection.

Limitations

• The exact number of images, file formats, and image resolution are unknown.
• The dataset's geographic origin and collection methodology are unspecified.

Provenance

Source

huggingface, author nateraw

Collection Method

Crowdsourced annotations.

Freshness

Last updated on 2024-09-10.

Geography

Region indicated as 'us'.