Duplicate from KaraAgroAI/CADI-AI

Co-authored-by: KaraAgro AI Foundation <KaraAgroAI@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+tags:
+- object detection
+- vision
+size_categories:
+- 1K<n<10K
+
+extra_gated_heading: "Acknowledge license to accept the repository"
+extra_gated_button_content: "Acknowledge license"
+extra_gated_fields:
+ I agree to attribute the creator of this repository: checkbox
+---
+
+---
+## Cashew Disease Identication with Artificial Intelligence (CADI-AI) Dataset
+
+This repository contains a comprehensive dataset of cashew images captured by drones, accompanied by meticulously annotated labels. 
+Each high-resolution image in the dataset has a resolution of 1600x1300 pixels, providing fine details for analysis and model training.
+To facilitate efficient object detection, each image is paired with a corresponding text file in YOLO format. 
+The YOLO format file contains annotations, including class labels and bounding box coordinates.
+
+
+### Dataset Labels
+
+```
+['abiotic', 'insect', 'disease']
+```
+
+### Number of Images
+
+```json
+{'train': 3788, 'valid': 710, 'test': 238}
+```
+
+### Number of Instances Annotated
+
+```json
+{'insect':1618, 'abiotic':13960, 'disease':7032}
+```
+### Folder structure after unzipping repective folders
+
+```markdown
+Data/
+└── train/
+    ├── images
+    ├── labels
+└── val/
+    ├── images
+    ├── labels   
+└── test/
+    ├── images
+    ├── labels   
+```
+
+### Dataset Information
+The dataset was created by a team of data scientists from the KaraAgro AI Foundation, 
+with support from agricultural scientists and officers. 
+The creation of this dataset was made possible through funding of the 
+Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) through their projects 
+[Market-Oriented Value Chains for Jobs & Growth in the ECOWAS Region (MOVE)](https://www.giz.de/en/worldwide/108524.html) and 
+[FAIR Forward - Artificial Intelligence for All](https://www.bmz-digital.global/en/overview-of-initiatives/fair-forward/), which GIZ implements on 
+behalf the German Federal Ministry for Economic Cooperation and Development (BMZ). 
+
+For detailed information regarding the dataset, we invite you to explore the accompanying datasheet available [here](https://drive.google.com/file/d/1viv-PtZC_j9S_K1mPl4R1lFRKxoFlR_M/view?usp=sharing). 
+This comprehensive resource offers a deeper understanding of the dataset's composition, variables, data collection methodologies, and other relevant details.