Ghana Crop Disease Detection Dataset
Ghana Crop Disease Detection Dataset
Datasets
Ghana Crop Disease Detection Dataset
File
Ghana Crop Disease Detection Dataset
Use Case
Ghana Crop Disease Detection Dataset
Description
Explore the Ghana Crop Disease Detection dataset, featuring annotated images of corn, pepper, and tomato crops.
Description:
This dataset is designed to advance crop disease detection through machine learning and computer vision, featuring high-quality images of corn, pepper, and tomato crops from farms in Ghana. The dataset is ideal for developing AI models to identify and classify crop diseases in agricultural settings.
Download Dataset
The training set includes annotated images with bounding boxes that mark the location and type of crop diseases, allowing for the detection of multiple diseases in a single image. Each disease is carefully annotated to provide precise training data for machine learning models.
The test set contains images that may feature new, previously unseen diseases, with bounding boxes removed, making it perfect for testing model robustness and generalization to novel conditions.
Key Features:
- Corn, Pepper, and Tomato Crops: Focused on three major Ghanaian crops.
- Disease Annotations: Precise bounding boxes indicating disease presence and type.
- Multi-Disease Detection: Training images may contain multiple diseases, annotated separately.
- Test Set for Generalization: Test images may include new diseases not seen in training data.
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.