ForTrunkDetV2 - Image dataset of visible and thermal annotated images for forest tree trunk detection (augmented version)

This dataset is an augmented version of an existing dataset (10.5281/zenodo.5213824), composed by visible and thermal images with trunk annotations. The images were acquired in three different portuguese forests and were captured by five different cameras:

• GoPro Hero6
• Allied Mako G-125
• FLIR M232
• ZED Stereo
• OAK-D

The augmented images and their annotations are stored in an archive with the following structure:

main_directory/

1. annotations/
   1. pascalvoc/
      • PascalVOC annotation files
      • ...
   2. yolo/
      • YOLO annotation files
      • ...
2. images/
   • Image files
   • ...

Each annotation file links to its image by the file name, so if an image is named "img12345.jpg", its annotation files are named as "img12345.xml" (for PascalVOC format) and "img12345.txt" (for YOLO format).

The dataset contains original and augmented images. The original images' names follow the pattern "img_******.jpg", where in the place of the asterisks are numbers. The remaining images are the augmented ones.

Also, the subsets that were used to train, validate and test some deep learning models are available in three .TXT files (train.txt, val.txt and test.txt), where each file line corresponds to an image name.