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(Final_VER3_no-deformed) E-LEADS Dataset 2 Computer Vision Dataset

byProjectsTask:
Object Detection
License:CC BY 4.0
See all 2.7k images(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample showing eggplant_leaf, healthy(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample showing cercospora_leaf_spot, eggplant_leaf(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample showing eggplant_leaf, wilt(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample showing cercospora_leaf_spot, eggplant_leaf, flea_beetles_pest, healthy(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample(Final_VER3_no-deformed) E-LEADS Dataset 2 Eggplant-Leaf-Multi-Disease-JDo4 sample

About (Final_VER3_no-deformed) E-LEADS Dataset 2 Dataset

Eggplant Leaf Multi-Disease Detection Dataset for Bi-YOLOv11

Label/Classify only

  1. Healthy Leaf

6 Disease Classes:

  1. Cercospora Leaf Spot Disease
  2. Powdery Mildew Disease
  3. Mosaic Virus Disease
  4. Aphids Pest Disease
  5. Flea Beetles Pest Disease
  6. Wilt Disease

Use Free Healthy, Aphids_pest and Cercospora_leaf_spot Detection API

Powered by general detection model

Code
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, aphids_pest, cercospora_leaf_spot, eggplant_leaf, flea_beetles_pest"
  },
  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

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ final_ver3_no-deformed-e-leads-dataset-2-scuo3_dataset,
  title = { (Final_VER3_no-deformed) E-LEADS Dataset 2 Dataset },
  type = { Open Source Dataset },
  author = { Projects },
  howpublished = { \url{ https://universe.roboflow.com/projects-wivhq/final_ver3_no-deformed-e-leads-dataset-2-scuo3 } },
  url = { https://universe.roboflow.com/projects-wivhq/final_ver3_no-deformed-e-leads-dataset-2-scuo3 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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