RLDDv2 Computer Vision Dataset
About RLDDv2 Dataset
Dataset used for my Final Year Project: Real-time Rice Leaf Diseases Detection using YOLOv8. A YOLOv8-based prototype was developed to detect mainly 2 diseases which are rice blast and brown spot, additional class - healthy leaves.
Raw dataset sourced from Mendeley URL: https://data.mendeley.com/datasets/hx6f852hw4/2. Citation: Hasan, M., Khatun, S., Raihan, M. A., & Uddin, A. H. (2023). Rice leaf bacterial and fungal disease dataset (Version 2)[Data set]. Mendeley Data. https://doi.org/10.1763
Then, it underwent a cleaning process, reducing it to 1,807 images. Using Roboflow platform, these images were then manually annotated and subjected to auto-augmentation steps, expanding the dataset to a total of 5,421 images.
Use Free Healthy, Brownspot and Rice blast Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "healthy, brownspot, rice blast"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ rlddv2-o74oh_dataset,
title = { RLDDv2 Dataset },
type = { Open Source Dataset },
author = { AIWorkspace },
howpublished = { \url{ https://universe.roboflow.com/aiworkspace-roxgm/rlddv2-o74oh } },
url = { https://universe.roboflow.com/aiworkspace-roxgm/rlddv2-o74oh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { may },
note = { visited on 2026-07-29 },
}