Mars-Bench
Collection
32 items
•
Updated
image
imagewidth (px) 500
500
| mask
imagewidth (px) 500
500
| width
int64 500
500
| height
int64 500
500
| class_labels
sequencelengths 2
2
|
---|---|---|---|---|
500 | 500 |
[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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500 | 500 |
[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
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[
"Background",
"Boulder"
] |
A segmentation dataset for planetary science applications.
This dataset contains the following classes:
The dataset follows this structure:
dataset/
├── train/
│ ├── images/ # Image files
│ └── masks/ # Segmentation masks
├── val/
│ ├── images/ # Image files
│ └── masks/ # Segmentation masks
├── test/
│ ├── images/ # Image files
│ └── masks/ # Segmentation masks
from datasets import load_dataset
dataset = load_dataset("Mirali33/mb-boulder_seg")
Each example in the dataset has the following format:
{
'image': Image(...), # PIL image
'mask': Image(...), # PIL image of the segmentation mask
'width': int, # Width of the image
'height': int, # Height of the image
'class_labels': [str,...] # List of class names present in the mask
}