Fashion Product Images Small
Dataset containing high-quality images of fashion products and associated text descriptions. Ideal for training multi-label visual and textual classification models.
Approximately 44,400 files: images (JPEG) and JSON files with product descriptions
MIT
Description
The dataset Fashion Product Images Small offers approximately 44,400 images of fashion products with text descriptions. Each product is identified by an ID and several classification attributes are available, allowing you to work on various tasks in vision and NLP.
What is this dataset for?
- Training image classifiers for fashion
- Text analysis of product descriptions via NLP
- Multi-label classification of product categories and attributes
Can it be enriched or improved?
This dataset can be supplemented with additional annotations or high-resolution images from the extended version. Integrating other metadata could also improve product analysis.
🔎 In summary
🧠 Recommended for
- AI fashion developers
- Classification projects
- Multi-label learning
🔧 Compatible tools
- PyTorch
- TensorFlow
- Hugging Face Transformers
- OpenCV
💡 Tip
Use both images and text descriptions for more efficient multimodal models.
Frequently Asked Questions
Does this dataset contain text descriptions associated with the images?
Yes, each product comes with detailed descriptions in JSON format.
What is the resolution of the images?
Medium-quality images that are sufficient for common classification tasks.
Can this dataset be used for a commercial project?
Yes, the MIT license is permissive and allows free commercial use.
