|
--- |
|
language: |
|
- en |
|
tags: |
|
- yolo |
|
- object-detection |
|
library_name: burial_mounds |
|
license: cc-by-nc-4.0 |
|
--- |
|
|
|
# kardosdrur/burial-mounds-yolov8m-xview |
|
|
|
This repository contains a YOLO model that has been finetuned by the `burial_mounds` Python package on the `Mounds` dataset. |
|
|
|
> The model is for academic use only, commercial use is prohibited due to restrictions imposed by the training datasets. |
|
|
|
## Usage |
|
```python |
|
# pip install burial_mounds |
|
|
|
from burial_mounds.model import MoundDetector |
|
|
|
model = MoundDetector.load_from_hub("kardosdrur/burial-mounds-yolov8m-xview") |
|
|
|
# Find bounding polygons |
|
bounding_polygons = model.detect_mounds("some_satellite_image.png") |
|
for polygon in bounding_polygons: |
|
print(polygon) |
|
|
|
# Annotate satellite images |
|
annotated_image = model.annotate_image("some_satellite_image.png") |
|
annotated_image.show() |
|
``` |
|
|
|
For a more detailed guide consult the [YOLOv8 documentation](https://docs.ultralytics.com/modes/predict/#key-features-of-predict-mode) or [our documentation](https://github.com/x-tabdeveloping/burial-mounds-object-recognition). |
