Datasets:
Tasks:
Image Segmentation
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
climate
License:
image imagewidth (px) 4.08k 5.33k | objects dict |
|---|---|
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"category": [
"bottle",
"cardboard or paper"
],
"id": [
120,
121
]
} | |
{
"bbox": [
[
1105.38,
1907.61,
20.279999999999973,
19.830000000000155
],
[
1616.04,
-1.08,
190.67000000000007,
172.77
]
],
"category": [
"trash",
"people"
],
"id": [
122,
123
]
} | |
{
"bbox": [
[
1518.76,
1452,
41.41000000000008,
21.970000000000027
],
[
2491.7,
1107.82,
26.740000000000236,
18.1400000000001
]
],
"category": [
"bottle",
"cardboard or paper"
],
"id": [
124,
125
]
} | |
{
"bbox": [
[
1507.59,
1141.12,
36.98000000000002,
25.680000000000064
],
[
2457.28,
800.66,
23.4399999999996,
19.680000000000064
]
],
"category": [
"bottle",
"cardboard or paper"
],
"id": [
126,
127
]
} | |
{
"bbox": [
[
1487.88,
824.18,
46.34999999999991,
36.16000000000008
],
[
2410.3,
474.68,
31.519999999999982,
22.25
]
],
"category": [
"bottle",
"cardboard or paper"
],
"id": [
128,
129
]
} | |
{
"bbox": [
[
1593.08,
-2.76,
203.30000000000018,
213.95999999999998
],
[
1051.07,
2223.5,
24.570000000000164,
21.13000000000011
]
],
"category": [
"people",
"trash"
],
"id": [
130,
131
]
} | |
{
"bbox": [
[
1212.37,
1313.33,
17.300000000000182,
19.160000000000082
],
[
1615.74,
75.92,
198.17000000000007,
293.39
]
],
"category": [
"trash",
"people"
],
"id": [
132,
133
]
} |
End of preview. Expand in Data Studio
Trash in River 2024 — Street Parade 2024 Dataset
Overview
This dataset was collected by SARA, a student initiative at ETH Zurich, to enable open research on trash presence in aquatic environments. It contains visual records of litter observed in the Limmat River in Zurich the day after the Street Parade (August 10, 2024). The dataset is intended for training and evaluating trash classification models.
Dataset summary
- Collection date: August 10, 2024 (day after the Street Parade)
- Location: Bridge crossing the Limmat River, Zurich, Switzerland
- Contents: Photographs of floating and riverbank trash with accompanying annotations for classification tasks
- Intended use: Machine learning (image classification), environmental monitoring, research and education
Data structure
The repository is organized to be ML-friendly. Example layout — adjust to match the actual repo:
- images/ — raw images (jpg)
- annotations/ — labels in COCO
- README.md — this file
- LICENSE — license file (CC BY 4.0)
Collection notes
Data were collected visually from a bridge spanning the Limmat. Photographs capture litter floating in the water. Observations reflect conditions shortly after a major public event (Street Parade), which can temporarily increase local waste levels.
Usage and license
- License: CC BY 4.0 — you may share and adapt the data with attribution.
Contributing and questions
To contribute, open issues or pull requests on the repository. For project information or questions, update the links below or contact the maintainers.
Project links and Contact
- Website: ARC
- GitHub: SARA-smartphone-assisted-river-analysis
- LinkedIn: Autonomous River Cleanup
- Contact email: maharo@student.ethz.ch
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