README.md

---
license: apache-2.0
language:
- en
pipeline_tag: image-segmentation
tags:
- ROI-extraction
metrics:
- precision
- f1
- recall
base_model:
- Roboflow/rf-detr-seg-nano
library_name: transformers
---

# Leaf Disease Segmentation

[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=flat&logo=PyTorch&logoColor=white)](https://pytorch.org/)
[![Hugging Face Model](https://img.shields.io/badge/%F0%9F%A4%97%20H%20F-Demo-darkred)](https://huggingface.co/spaces/LeafNet75/Diseased_ROI_extraction)

Built on top of RF-DETR Segmentation Nano by Roboflow, this optimized leaf disease segmentation model is fine-tuned for real-world agricultural deployment and exported to high-performance `.onnx` weights for fast CPU inference, enabling farmers to detect crop diseases in real time with precise overlay masks, affected area estimation, and actionable disease treatment insights.

## Inference results:

![combined](https://huggingface.co/static-proxy/cdn-uploads.huggingface.co/production/uploads/66c6048d0bf40704e4159a23/mCjU2Gb80q70fvUm43XPF.jpeg)


## ONNX Weights

This repository now includes .onnx exported weights for optimized real-time inference at: [here](https://huggingface.co/Subh775/Dis-Seg-Former/blob/main/export/rfdetr-seg-nano.onnx)