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Jewelry & Fashion Accessories Product Dataset (5,000 Images)
Generative AI & Computer Vision
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£99
About
This dataset contains 5,000 high-quality JPG images featuring jewelry pieces and fashion accessories photographed in a professional studio environment. Most of the objects are isolated on a clean white background, making the dataset ideal for object detection, classification, segmentation, synthetic data generation, and e-commerce automation. Items include earrings, rings, necklaces, bracelets, brooches, scarves, hats, gloves, bags, clutches, and various hair and fashion accessories.
Dataset Features
List and describe each column or key feature of the dataset.
- Object Types: Jewelry (earrings, rings, pendants, necklaces, bracelets, brooches); fashion accessories (scarves, hats, gloves, handbags, clutches, hair items).
- Image Type: High-resolution JPG photographs captured with controlled studio lighting.
- Background: Clean white background for maximum clarity and easy processing.
- Variability: Wide variety of shapes, colors, materials, textures, and reflective surfaces.
- Uniqueness: All images are original and professionally curated.
- Consistency: Standardized framing and lighting conditions ideal for model training.
Distribution
Detail the format, size, and structure of the dataset.
- Data Volume: 5,000 individual JPG images.
- Organization: Delivered as a single ZIP archive with consistent naming conventions.
- Resolution: Majority between 3000–4000 px on the longest side.
- Structure: One unified folder optimized for ML workflows and batch processing.
Usage
This dataset is ideal for a variety of applications:
- Application: Object detection and classification for jewelry and accessories.
- Application: Visual search and recommendation engines for fashion e-commerce.
- Application: Training segmentation models and background-removal AI.
- Application: Generative AI and diffusion model fine-tuning for product imagery.
- Application: Virtual try-on systems and synthetic catalog generation.
- Application: Automated cataloging, metadata extraction, and tagging pipelines.
- Application: Multi-modal AI research involving product images and text.
Coverage
Explain the scope and coverage of the dataset:
- Geographic Coverage: Italy; suitable for global retail and AI development.
- Demographics: Not applicable (no human presence).
License
Proprietary
Who Can Use It
List examples of intended users and their use cases:
- Data Scientists: For product recognition, segmentation, and classification tasks.
- Researchers: For material reflectivity studies and computer vision research.
- Businesses: For fashion-tech solutions, AI-driven retail, catalog automation.
- AI Companies: For training generative models and product understanding systems.
- Developers: For e-commerce pipelines, tagging automation, dataset augmentation.
Include any additional notes or context about the dataset that might be helpful for users.
- All photos are original and fully owned by Alessandro Grandini.
- No models or people appear in the images.
- No images were generated by AI.
- All objects were photographed in a professional, controlled studio environment.
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