File size: 1,059 Bytes
616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca 616ba9f 42a43ca |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
language:
- en
tags:
- yolo
- object-detection
library_name: burial_mounds
license: cc-by-nc-4.0
---
# kardosdrur/burial-mounds-yolov8m-obb
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")
# 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). |