Upload folder using huggingface_hub
Browse files
.DS_Store
ADDED
|
Binary file (6.15 kB). View file
|
|
|
README.md
CHANGED
|
@@ -42,15 +42,27 @@ model-index:
|
|
| 42 |
value: 0.863
|
| 43 |
name: Recall
|
| 44 |
inference: true
|
|
|
|
|
|
|
| 45 |
widget:
|
| 46 |
-
|
| 47 |
-
|
| 48 |
---
|
| 49 |
|
| 50 |
# YOLOv8s Tree Disease Detection Model
|
| 51 |
|
|
|
|
|
|
|
| 52 |
This model detects unhealthy/diseased trees in aerial UAV imagery using YOLOv8s architecture. It was trained on the PDT (Pests and Diseases Tree) dataset and achieves high accuracy for agricultural monitoring applications.
|
| 53 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
## Model Description
|
| 55 |
|
| 56 |
This YOLOv8s model has been fine-tuned specifically for detecting unhealthy trees affected by pests and diseases in high-resolution UAV imagery. The model is particularly effective for:
|
|
@@ -101,7 +113,6 @@ This YOLOv8s model has been fine-tuned specifically for detecting unhealthy tree
|
|
| 101 |
|
| 102 |
```bash
|
| 103 |
pip install ultralytics
|
| 104 |
-
```
|
| 105 |
|
| 106 |
### Inference
|
| 107 |
|
|
|
|
| 42 |
value: 0.863
|
| 43 |
name: Recall
|
| 44 |
inference: true
|
| 45 |
+
spaces:
|
| 46 |
+
- IsmatS/tree-disease-detector-demo
|
| 47 |
widget:
|
| 48 |
+
- src: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/example_image.jpg
|
| 49 |
+
example_title: Example Tree Image
|
| 50 |
---
|
| 51 |
|
| 52 |
# YOLOv8s Tree Disease Detection Model
|
| 53 |
|
| 54 |
+
Try the model in action: [🚀 Live Demo](https://huggingface.co/spaces/IsmatS/tree-disease-detector-demo)
|
| 55 |
+
|
| 56 |
This model detects unhealthy/diseased trees in aerial UAV imagery using YOLOv8s architecture. It was trained on the PDT (Pests and Diseases Tree) dataset and achieves high accuracy for agricultural monitoring applications.
|
| 57 |
|
| 58 |
+
<!-- Embed the Space -->
|
| 59 |
+
<iframe
|
| 60 |
+
src="https://IsmatS-tree-disease-detector-demo.hf.space"
|
| 61 |
+
frameborder="0"
|
| 62 |
+
width="850"
|
| 63 |
+
height="450"
|
| 64 |
+
></iframe>
|
| 65 |
+
|
| 66 |
## Model Description
|
| 67 |
|
| 68 |
This YOLOv8s model has been fine-tuned specifically for detecting unhealthy trees affected by pests and diseases in high-resolution UAV imagery. The model is particularly effective for:
|
|
|
|
| 113 |
|
| 114 |
```bash
|
| 115 |
pip install ultralytics
|
|
|
|
| 116 |
|
| 117 |
### Inference
|
| 118 |
|