RT-Trees: Evaluation and RGB training images with masks
- Description:
- This is the RT-Trees dataset proposed and used in the paper titled, "Shadowsense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection From RGB-Thermal Drone Imagery", published at the IEEE/CVF WACV 2024 conference. Due to the size of the dataset and Zenodo's 50GB limit, the dataset is partitioned into two separate uploads. This upload contains the evaluation splits (test & val), along with the labelled subset of RGB training images used for a supervised training experiment, and the much larger set of unlabelled RGB images used for fully-unsupervised training. The second upload includes the corresponding unlabelled thermal images used for unsupervised training.
- Kapil, Rudraksh, Marvasti-Zadeh, Seyed Mojtaba, Erbilgin, Nadir, and Ray, Nilanjan
- Source Repository:
- Zenodo
- Publisher(s):
- Zenodo
- License:
- Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
- URL:
- https://zenodo.org/doi/10.5281/zenodo.14007907
- Publication date:
- 2024-01-04
- Subjects:
- Identifier:
- https://doi.org/10.5281/zenodo.14007907
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