https://github.com/loki-silvres/tree-counting-using-yolov8

Object Detection with YoloV8 to approximate the number of trees present in an image.
https://github.com/loki-silvres/tree-counting-using-yolov8

augmentation object-detection python pytorch transfer-learning ultralytics yolov8

Last synced: 2 months ago
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Object Detection with YoloV8 to approximate the number of trees present in an image.

• Host: GitHub
• URL: https://github.com/loki-silvres/tree-counting-using-yolov8
• Owner: Loki-Silvres
• Created: 2024-07-16T15:05:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-18T21:13:01.000Z (about 1 year ago)
• Last Synced: 2025-04-06T21:13:49.823Z (6 months ago)
• Topics: augmentation, object-detection, python, pytorch, transfer-learning, ultralytics, yolov8
• Language: Python
• Homepage:
• Size: 59.9 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Tree-Counting-using-YoloV8

A basic transfer learning application of Ultralytics-YoloV8 for object detection in counting the approximate number of trees present in a satellite image.

## Metrics

- [Results](runs/detect/train13)

## Examples

- **Sample image**

  - ![Sample](https://github.com/Loki-Silvres/Tree-Counting-using-YoloV8/blob/main/data/Count_trees_in_this_file.png)

- **Detections**: Approx. 850 detections 

  - ![Detections](https://github.com/Loki-Silvres/Tree-Counting-using-YoloV8/blob/main/Count_trees_in_this_file.png)

## References

- [Ultralytics-YoloV8 repo](https://github.com/ultralytics/ultralytics)

- [Dataset](https://www.kaggle.com/datasets/lokisilvres/tree-counting-dataset-yolo-format)