Second-Hand Clothing Images with Background Removal

Front-only images from a second-hand fashion dataset, processed to remove backgrounds using the BiRefNet model. The dataset was uploaded by author fnauman to Hugging Face and last updated on February 14, 2025. Larger original images were resized to 1024x1024 pixels to accommodate the background removal tool.

Use Cases

• Train image classification models for second-hand clothing categories based on front-view images.
• Develop and test background removal or image segmentation algorithms using pre-processed data.
• Analyze visual features of second-hand fashion items for recommendation or search systems.
• Fine-tune vision models for e-commerce applications focused on pre-owned apparel.

Strengths

• Images have undergone background removal, providing cleaner inputs for model training.
• The dataset is a curated subset focusing solely on front-view images, which may simplify certain tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The background removal process resized images larger than 1024x1024, potentially reducing detail.

Provenance

Source

Derived from version 3 of the 'Clothing Dataset for Second-Hand Fashion' originally released on Zenodo.

Collection Method

Front images were extracted and backgrounds removed using BiRefNet.

Time Range

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Freshness

Last updated 2025-02-14 14:58:22; freshness should be verified.

Geography

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