High-Resolution Fashion Product Images with Descriptive Labels

Thousands of unique e-commerce fashion products combine high-resolution images with multiple descriptive label attributes. This dataset is a highly optimized, high-resolution subset of the popular Fashion Product Images Dataset originally hosted on Kaggle. It was created by PestoRosso and last updated on June 20, 2026.

Use Cases

• Train image classification models based on high-resolution product images.
• Develop multi-label attribute recognition systems based on descriptive labels.
• Benchmark image quality filtering algorithms based on the aggressive removal of low-resolution thumbnails and anomalies.
• Create synthetic e-commerce catalogs based on thousands of unique fashion products.

Strengths

• High-resolution images with a minimum resolution of 640px on the shortest side.
• Aggressively filtered to remove low-resolution thumbnails and anomalies.
• Contains thousands of unique e-commerce fashion products.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026).

Provenance

Source

Subset of the Fashion Product Images Dataset originally hosted on Kaggle.

Collection Method

Aggressively filtered to remove low-resolution thumbnails and anomalies.

Freshness

Last updated 2026-06-20 10:36:42