Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -25,9 +25,25 @@ size_categories:
|
|
| 25 |
This dataset contains a series of multispectral image slices captured at the embankment dams and dikes
|
| 26 |
of the Belo Monte Hydroelectric Complex, located in the state of Pará, northern Brazil. Each image is
|
| 27 |
paired with its respective NDRE vegetation index values, binary segmentation mask and multiclass
|
| 28 |
-
segmentation mask
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
|
| 30 |
-
---
|
| 31 |
## Dataset Structure
|
| 32 |
|
| 33 |
The dataset files are organized as following:
|
|
@@ -38,10 +54,28 @@ The dataset files are organized as following:
|
|
| 38 |
├── 📁 index_ndre # NDRE index values
|
| 39 |
├── 📁 labels_binary # Binary Segmentation Masks
|
| 40 |
├── 📁 labels_multiclass # Multiclass Segmentation Masks
|
| 41 |
-
└──
|
| 42 |
```
|
| 43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
## Citation Information
|
| 46 |
|
| 47 |
If you use this dataset in your work, please cite:
|
|
|
|
| 25 |
This dataset contains a series of multispectral image slices captured at the embankment dams and dikes
|
| 26 |
of the Belo Monte Hydroelectric Complex, located in the state of Pará, northern Brazil. Each image is
|
| 27 |
paired with its respective NDRE vegetation index values, binary segmentation mask and multiclass
|
| 28 |
+
segmentation mask.
|
| 29 |
+
|
| 30 |
+
The multispectral images were captured by the Micasense RedEdge-P multispectral sensor embedded in a
|
| 31 |
+
DJI M210 V2 UAV. Radiometric calibration was performed for all images based on the known reflectance
|
| 32 |
+
values of a calibration panel. All images were used to process a Digital Ortophoto Map, which was then
|
| 33 |
+
sliced into the 256x256x5 image patches that are contained in this dataset.
|
| 34 |
+
|
| 35 |
+
Each image file is composed of six channels:
|
| 36 |
+
|
| 37 |
+
1. Red band reflectance
|
| 38 |
+
2. Green band reflectance
|
| 39 |
+
3. Blue band reflectance
|
| 40 |
+
4. Red Edge band reflectance
|
| 41 |
+
5. Near-infrared band reflectance
|
| 42 |
+
6. Binary cutline
|
| 43 |
+
|
| 44 |
+
The vegetation index (NDRE) values were calculated based on the spectral bands and the segmentation masks
|
| 45 |
+
were manually annotated using the CVAT software.
|
| 46 |
|
|
|
|
| 47 |
## Dataset Structure
|
| 48 |
|
| 49 |
The dataset files are organized as following:
|
|
|
|
| 54 |
├── 📁 index_ndre # NDRE index values
|
| 55 |
├── 📁 labels_binary # Binary Segmentation Masks
|
| 56 |
├── 📁 labels_multiclass # Multiclass Segmentation Masks
|
| 57 |
+
└── 📝 README.md
|
| 58 |
```
|
| 59 |
|
| 60 |
+
## Segmentation Classes
|
| 61 |
+
|
| 62 |
+
The image annotations are formatted for both binary and multi-class segmentation.
|
| 63 |
+
|
| 64 |
+
**Binary Segmentation Classes:**
|
| 65 |
+
- Slope
|
| 66 |
+
- Not-Slope
|
| 67 |
+
|
| 68 |
+
**Multi-class Segmentation Classes:**
|
| 69 |
+
- Slope
|
| 70 |
+
- Drainage Channels
|
| 71 |
+
- Stairways
|
| 72 |
+
- Background
|
| 73 |
+
|
| 74 |
---
|
| 75 |
+
## License Information
|
| 76 |
+
|
| 77 |
+
This dataset is licensed under the [Creative Commons Attribution Non Commercial Share Alike 4.0 International](https://spdx.org/licenses/CC-BY-NC-SA-4.0) license terms.
|
| 78 |
+
|
| 79 |
## Citation Information
|
| 80 |
|
| 81 |
If you use this dataset in your work, please cite:
|