Fashionista Dataset provides images for training machine learning models. The dataset was authored by 'grahamar' and last updated on August 21, 2017.
Use Cases
- Classify garment types using image labels from the 'Fashionista Dataset' tag.
- Train object detection models to locate garments within photos.
- Perform style or attribute recognition based on visual features in the images.
Strengths
- Dataset is specifically designed for machine learning training, as indicated by its description.
- Includes platform tags ('Garment', 'Photos') confirming visual data related to fashion items.
Limitations
- No information on sample size, row count, or data volume is available.
- Data is from 2017 and may not reflect contemporary fashion trends or image quality standards.
Provenance
- Source
- GitHub repository by author 'grahamar'.
- Collection Method
- null
- Time Range
- null
- Freshness
- Last updated in 2017.
- Geography
- null