Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K<n<10K
License:
metadata
annotations_creators:
- human-curator
language:
- en
license:
- mit
pretty_name: RockGlacier
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- image-classification
task_ids:
- multi-class-image-classification
Dataset Card for Rock Glacier Detection
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: RockGlacier Homepage
- Repository: alcazar90/rock-glacier-detection
- Paper: N/A
- Leaderboard: N/A
- Point of Contact: N/A
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.
Languages
English
Dataset Structure
Data Instances
A sample from the training set is provided below:
{
'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=128x128 at 0x7FE652BE2FD0>,
'labels': 0
}
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:
{
"glaciar": 0,
"cordillera": 1
}
Data Splits
train | validation | test | |
---|---|---|---|
# of examples | 1456 | 364 | NA |
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...