---
language:
    - en
tags:
    - yolo
    - object-recognition
library_name: burial_mounds
---

# kardosdrur/burial-mounds-yolov8m-xview

This repository contains a YOLO model that has been finetuned by the `burial_mounds` Python package on the `best` dataset.

## Usage
```python
# pip install burial_mounds

from burial_mounds.hub import load_from_hub

model = load_from_hub("kardosdrur/burial-mounds-yolov8m-xview")

mounds = model(["data/mounds/images/east_30.png"])

# Process results list
for result in results:
    boxes = result.boxes  # Boxes object for bounding box outputs
    masks = result.masks  # Masks object for segmentation masks outputs
    keypoints = result.keypoints  # Keypoints object for pose outputs
    probs = result.probs  # Probs object for classification outputs
    obb = result.obb  # Oriented boxes object for OBB outputs
    result.show()  # display to screen
    result.save(filename="result.jpg")  # save to disk
```

For a more detailed guide consult the [YOLOv8 documentation](https://docs.ultralytics.com/modes/predict/#key-features-of-predict-mode).