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FLAME2_VOC/split/test.txt

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FLAME2_VOC/split/train.txt

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FLAME2_VOC/split/val.txt

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HSS_VOC/split/test.txt

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HSS_VOC/split/train.txt

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README.md

@@ -1,6 +1,5 @@
 # Hyperspectral and Multispectral Smoke Segmentation Datasets
 
----
 
 ## Overview
 
@@ -90,16 +89,22 @@ HSS_VOC/
 │   ├── 10_frame_0001.npy
 │   ├── 10_frame_0019.npy
 │   └── ...
-├── Mask/         # Ground truth masks
-│   ├── 10_frame_0001.png
+├── Mask/                      # Final ground truth masks 
+│   ├── 10_frame_0001.png      # Majority voting results
 │   ├── 10_frame_0019.png
 │   └── ...
-├── Mask_1/                    # Individual annotator masks
-├── Mask_2/
-└── Mask_3/
+├── Annotation_1/              # Annotator 1's masks 
+│   └── *.png
+├── Annotation_2/              # Annotator 2's masks 
+│   └── *.png
+├── Annotation_3/              # Annotator 3's masks 
+│   └── *.png
+└── split/                     # Dataset split files
+    ├── train.txt              # Training set sample list
+    ├── val.txt                # Validation set sample list
+    └── test.txt               # Test set sample list
 ```
 
-
 ---
 
 ## MSSDataset: Multispectral Smoke Segmentation Dataset
@@ -132,10 +137,15 @@ To validate the generalizability of our method beyond hyperspectral data, we con
 FLAME2_VOC/
 ├── npy_multichannel/          # Multispectral data (4 channels: RGB+IR)
 │   └── *.npy
-└── Mask/         # Ground truth masks
-    └── *.png
+├── Mask/                      # Ground truth masks
+│   └── *.png
+└── split/                     # Dataset split files
+    ├── train.txt              # Training set sample list 
+    ├── val.txt                # Validation set sample list 
+    └── test.txt               # Test set sample list
 ```
 
+
 ---
 
 ## Data Format