Dataset Overview: SnapGarden v0.6

License

• License: MIT

Dataset Information

• Features:
  • Name: image
    • Type: image
  • Name: text
    • Type: string

Splits

• Training Set:
  • Byte Size: 761,694,844.68
  • Number of Samples: 4,367
• Test Set:
  • Byte Size: 190,467,316.32
  • Number of Samples: 1,092

Download Size

• 951,870,561 bytes

Total Dataset Size

• 952,162,161 bytes

Configuration

• Configuration Name: default
  • Training Data Path: data/train-*
  • Test Data Path: data/test-*

Content

• Images: 1,000 images of 25 plant species, each augmented five times.
• Descriptions: Q&A‑style texts to help AI learn how a horticulturist would describe plants.

Usage

• Load with Hugging Face datasets library:

from datasets import load_dataset
dataset = load_dataset("Baran657/SnapGarden_v0.6")

Legal Statement

• Image copyrights belong to the original owners; the dataset is intended for AI research.

Potential Uses

• Image Captioning: Enable machines to describe plants like a natural guide.
• Plant Recognition: Test AI’s ability to differentiate between plant species.
• Educational Content: Build resources for gardening enthusiasts and nature lovers.

License

• The dataset follows the MIT license; redistribution, remixing, and use require appropriate attribution.

Acknowledgements

• Thanks to all photographers and creators of the plant images whose contributions made this dataset possible.