---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- biology
size_categories:
- n<1K
---

# 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

![pomegranate_0050.JPG](https://cdn-uploads.huggingface.co/production/uploads/660d9e53fc9742e051790d23/YTVLVt9NAMfZXq65lohLj.jpeg)
![jatropha_0047.JPG](https://cdn-uploads.huggingface.co/production/uploads/660d9e53fc9742e051790d23/pIQ3JpP_Q791D6-Efvq21.jpeg)


## 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}
}
```