avaishnav/Indian-plant-leaves-species

Indian Plant Leaves Species

Dataset Summary

This dataset consists of 542 high-resolution images of leaves from 12 different plant species. All images were captured using a mobile phone camera under natural lighting conditions. The dataset is intended for use in plant species classification, leaf recognition, and related computer vision tasks.

Supported Tasks and Leaderboards

• Image Classification
• Species Recognition
• Transfer Learning for Plant Identification
• Fine-tuning Computer Vision Models

Languages

Not applicable (images only, no text).

Dataset Structure

• Number of Images: 542
• Number of Classes: 12 plant species

Plant Species

1. Alstonia Scholaris
2. Bael
3. Guava
4. Jatropha
5. Mango
6. Pongamia Pinnata
7. Arjun
8. Basil
9. Chinar
10. Jamun
11. Lemon
12. Pomegranate

Usage

Example usage with datasets library (replace your-username/leaf-dataset):

from datasets import load_dataset

dataset = load_dataset("avaishnav/Indian-plant-leaves-species")

Data Collection Process

• Images were captured by the dataset author using a mobile phone camera.
• Photos were taken in natural daylight, with leaves detached from the plant stem.
• No preprocessing or filtering was applied, to preserve real-world conditions.

Citation

If you use this dataset in your research or application, please consider citing:

@dataset{vaishnav2025indian,
  author       = {Vaishnav, Anugrah},
  title        = {Indian Plant Leaves Species},
  year         = 2025,
  url          = {https://huggingface.co/datasets/avaishnav/Indian-plant-leaves-species},
  publisher    = {Hugging Face},
  license      = {Apache-2.0}
}