Dataset Open Access
2 Datasets of forests for Computer Vision and Deep Learning techniques
Sarah Kentsch;
Yago Diez
Researcher(s)
Roure, Ferran
Supervisor(s)
Lopez Caceres, Maximo Larry
Datasets:
1) Coastal forest in Shonai area; contains an orthomosaic (processed by Metashape) of the coastal forest and annotated layers (processed in Gimp)
Annotated layers: 0 = annotations of black locust; 1 = annotations of soil; 2 = annotations of man-made; 3 = annotations of other trees and the orthomosaic as JPEG file
2) Mixed forest images of the Yamagata University Research Forest taken in the winter season; contains 7 orthomosaics (TIFF file), annotated layers (named wM1 to wM7; processed in Gimp)
Orthomosaics: 7 orthomosaics of 5 different sites; for one of the sites we provide 3 orthomosaics of different days and illumination conditions
Annotated layers: 0 = annotations of river class; 1 = annotations of deciduous class; 2 = annotations of uncovered class; 3 = annotations of evergreen class; 4 = annotations of man-made class and the orthomosaic as JPEG file
The dataset was used for our transfer learning study in the field of forest applications. We used in one experiment the winter images to run deep learning algorithms. In a second experiment we used the coastal forest data for a similar approach.
| Name | Size | |
|---|---|---|
|
Coastal_Forest_Data.zip
md5:b9053ae5dee429b3d0d23b72a5223fca |
1.4 GB | Download |
|
Orthomosaics_TIFF file.zip
md5:616c543addcc05c3308f8d34e7cb8c7a |
1.7 GB | Download |
|
wM1.zip
md5:e6075e171aad27ca6b7ae4ea78d6e6bc |
65.0 MB | Download |
|
wM2.zip
md5:d9200e8da56e60fe816242b113f5dc48 |
48.1 MB | Download |
|
wM3.zip
md5:39feb490d51728baca86b2410984cbd3 |
77.0 MB | Download |
|
wM4.zip
md5:0cd2b4355293861e09f3949843b83f2e |
36.5 MB | Download |
|
wM5.zip
md5:de00c1f8cde9f6d6b260b4e8ddf4fef9 |
147.6 MB | Download |
|
wM6.zip
md5:7723c590780846e750bc1a0f71a069f6 |
138.6 MB | Download |
|
wM7.zip
md5:fd734d66387582f0069c64489bc1ba14 |
101.9 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 664 | 664 |
| Downloads | 508 | 508 |
| Data volume | 537.7 GB | 537.7 GB |
| Unique views | 572 | 572 |
| Unique downloads | 261 | 261 |
- Publication date:
- March 2, 2020
- DOI:
-
- Keyword(s):
- Dataset Deep learning Forest orthomosaics Transfer learning coastal forest mixed forest annotations Japan Gimp Metashape computer vision drone UAV RGB
- License (for files):
- Creative Commons Attribution 4.0 International