Update README.md

README.md

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 size_categories:
 - 1K<n<10K
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+## 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
 
@@ -27,4 +34,27 @@ size_categories:
 
 ```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)” and 
+"FAIR Forward - Artificial Intelligence for All", which GIZ implements on 
+behalf the German Federal Ministry for Economic Cooperation and Development (BMZ).