Monkey Species Image Collection for Fine-Grained Classification

Featuring nearly 1400 JPEG images of 10 monkey species, organized into training and validation splits. It was created by Lehrig as a test case for fine-grained classification tasks, with images sourced from Wikipedia using the googliser tool.

Use Cases

• Fine-tune a vision model on 10 species categories (n0~n9) for monkey species classification.
• Benchmark image classification performance using the provided training and validation splits.
• Analyze model performance per species using the Latin Name or Common Name labels.
• Test fine-grained classification algorithms on the provided 224x224 px downsized image variant.

Strengths

• Contains nearly 1400 images across 10 distinct monkey species.
• Provides two pre-defined splits: training and validation sets.
• Offers two image size variants, including a downsized 224x224 px version for easier processing.

Limitations

• Small sample size with approximately 130-150 images per species in the training split.
• Potential label noise or bias as images were automatically downloaded from the web.
• No information on image resolution, quality consistency, or geographic origin of subjects.

Provenance

Source

Images sourced from Wikipedia's monkey cladogram.

Collection Method

Images downloaded using the open-source googliser tool.

Freshness

Last updated in May 2022.