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Tree Monitoring Dataset - Bangladesh

This dataset is prepared for training object detection and segmentation models to monitor tree canopies in Bangladesh.

Dataset Structure

  • sentinel2/: Raw Sentinel-2 Level-2A imagery for Bandarban, Rangamati, Sylhet, and Gazipur districts.
  • deepforest/: DeepForest annotations and tree crown samples.
  • zenodo/: Reference training datasets.
  • selvabox/: Tree canopy labels and annotations.
  • global_forest_change/: Hansen Global Forest Change tiles covering Bangladesh.
  • yolo/: Formatted images and labels ready for training YOLO.
  • coco/: Formatted images and COCO JSON annotations.
  • segmentation/: Formatted images and binary masks for semantic segmentation.
  • labels/: Raw annotations and vector label formats.

Classes

  1. tree - Canopy crown boundary

How to use with YOLOv8

from ultralytics import YOLO
model = YOLO('yolov8n.pt')
model.train(data='dataset.yaml', epochs=100, imgsz=640)
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