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Tarunhugging/ai-tool-pool-jewelry-vision

AI Tool Pool Jewelry Vision Dataset Dataset Description This dataset contains 5,130 jewelry images organized into 5 categories for computer vision tasks. The dataset was originally created and hosted on Roboflow Universe. Categories Bracelet: Bracelet jewelry images Earrings: Earring jewelry images Necklace: Necklace jewelry images Pendant: Pendant jewelry images Ring: Ring jewelry images Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/Tarunhugging/ai-tool-pool-jewelry-vision.

sourceHugging Facecc-by-4.0updated 10mo agoView on Hugging Face
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Dataset Card

AI Tool Pool Jewelry Vision Dataset

Dataset Description

This dataset contains 5,130 jewelry images organized into 5 categories for computer vision tasks. The dataset was originally created and hosted on Roboflow Universe.

Categories

  • —Bracelet: Bracelet jewelry images
  • —Earrings: Earring jewelry images
  • —Necklace: Necklace jewelry images
  • —Pendant: Pendant jewelry images
  • —Ring: Ring jewelry images

Dataset Structure

AI-Tool-Pool-Jewelry-Vision/
├── train/           # Training images
├── test/            # Test images  
├── valid/           # Validation images
└── README.md        # This file

Each split contains subdirectories for each jewelry category with corresponding images.

Dataset Information

  • —Total Images: 5,130
  • —Format: CLIP format annotation
  • —License: CC BY 4.0
  • —Source: Roboflow Universe
  • —Original Dataset: https://universe.roboflow.com/work-ypnn9/ai-tool-pool-jewelry-vision

Preprocessing Applied

  • —Auto-orientation of pixel data (with EXIF-orientation stripping)
  • —Auto-contrast via adaptive equalization

Data Augmentation

The following augmentation was applied to create 3 versions of each source image:

  • —50% probability of horizontal flip
  • —50% probability of vertical flip
  • —Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise
  • —Random rotation of between -15 and +15 degrees
  • —Random brightness adjustment of between -80 and +80 percent

Use Cases

This dataset is suitable for:

  • —Image Classification: Classify jewelry types
  • —Zero-shot Classification: Test models on jewelry categorization without training
  • —Feature Extraction: Extract visual features from jewelry images
  • —Computer Vision Research: General computer vision tasks with fashion/jewelry domain

Citation

If you use this dataset, please cite:

@dataset{ai_tool_pool_jewelry_vision,
  title={AI Tool Pool Jewelry Vision Dataset},
  author={Roboflow User},
  year={2025},
  url={https://universe.roboflow.com/work-ypnn9/ai-tool-pool-jewelry-vision},
  note={Available under CC BY 4.0 license}
}

License

This dataset is available under the CC BY 4.0 license.# ai-tool-pool-jewelry-vision