Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size Categories:
1K<n<10K
Annotations Creators:
human-curator
Source Datasets:
original
License:
mit
Dataset Preview
Go to dataset viewer
image (image) | labels (class label) | path (string) |
---|---|---|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
|
0
(cordillera) | "data/data_v01/train.zip"
|
End of preview (truncated to 100
rows)
Dataset Card for Rock Glacier Detection
Dataset Summary
Rock Glacier Detection dataset with satelital images of rock glaciers in the Chilean Andes.
Supported Tasks and Leaderboards
image-classification
: Based on a satelitel images (from sentinel2), the goal of this task is to predict a rock glacier in the geographic area, if there any.image-segmentation
: ...
Languages
Spanish
Dataset Structure
Data Instances
A sample from the image-classification training set is provided below:
df = load_dataset("alkzar90/rock-glacier-dataset", name="image-classification")
df["train"][666]
> {'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=128x128 at 0x7FB2EC58C6D0>,
'labels': 0,
'path': 'train/cordillera/1512.png'
}
A sample from the image-segmentation training set is provided below:
df = load_dataset("alkzar90/rock-glacier-dataset", name="image-segmentation")
df["train"][666]
> {'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=128x128 at 0x7FB2EB7C1160>,
'masks': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=128x128 at 0x7FB2EC5A08E0>,
'path': 'train/cordillera/1512.png'}
Data Fields
The data instances have the following fields:
image
: APIL.Image.Image
object containing the image. Note that when accessing the image column:dataset[0]["image"]
the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the"image"
column, i.e.dataset[0]["image"]
should always be preferred overdataset["image"][0]
.labels
: anint
classification label.
Class Label Mappings:
{
"cordillera": 0
"glaciar": 1,
}
Data Splits
train | validation | test | |
---|---|---|---|
# of examples | 7875 | 1125 | 2700 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@ONLINE {rock-glacier-dataset,
author="CMM - Glaciares (UChile)",
title="Rock Glacier Dataset",
month="October",
year="2022",
url="https://github.com/alcazar90/rock-glacier-detection"
}
Contributions
Thanks to...
- Downloads last month
- 5
Homepage:
RockGlacier Homepage
Repository:
alcazar90/rock-glacier-detection
Paper:
N/A
Leaderboard:
N/A
Point of Contact:
N/A