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trash-in-river-2024
Hugging Face dataset SARA-smartphone-assisted-river-analysis/trash-in-river-2024
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What's in it
- Data offered docs-verified
- images · bounding-box object annotations · object categories: plastic bag, people, bottle, trash, cardboard or paper
- Coverage llm-inferred
- Global (from catalogue regions metadata; not stated in docs) · 2024 (from dataset name; not stated in docs)
- Resolution docs-verified
- Image width 4.08k–5.33k px (dataset viewer column range); spatial resolution not stated
- Formats docs-verified
- imagefolder · Parquet (auto-converted)
- Access docs-verified
- Licence cc-by-4.0; no authentication indicated in docs (free access not explicitly stated)
Useful for
- Use cases llm-inferred
- Litter and debris baseline surveys for river corridor condition assessments · Benchmarking or training object detection for riverine litter in citizen-science survey tools · Evidence base for river litter audits supporting catchment or EIA-style reporting
- Audience llm-inferred
- environmental consultants · ecologists · data scientists (computer vision) · GIS analysts
Limitations
- Constraints llm-inferred
- Single train split only (about 1.9k rows); no test or validation split listed · Some rows have no annotations (empty bbox, category and id lists) · Task tag says Image Segmentation but annotations are bounding boxes · Collection method, geography and annotation protocol not described in the captured docs · Spatial resolution and capture conditions not documented
- Licence
- cc-by-4.0
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified 2026-10-15 via HF API: exists; 232 downloads/30d, 1 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)