Datasets › ISBNet
ISBNet
ISBNet is a dataset of images of recyclables. It is hand collected by our group at the International School of Beijing. The trash in these images was gathered from trash bins around the school. ISBNet totals 889 images distributed across 5 classes: cans (74), landfill (410), paper (182), plastic (122), and tetra pak (101). The data acquisition process involved using a piece of black poster paper as a background; this would create enough contrast for trash belonging to the paper category. These pictures were taken with an iPhone 8 and an iPhone XS. We recorded the trash bin in which the piece of trash originated from and any trash generating landmarks nearby. Please refer to the paper (ThanosNet: A Novel Trash Classification Method Using Metadata) for more about the format of the metadata.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Classification | ISBNet | ThanosNet Macro F1 0.952 | ThanosNet: A Novel Trash Classification Method Using Metadata | alansun17904/smart-trash | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| ThanosNet: A Novel Trash Classification Method Using Metadata | 1 | 1 | 19 Mar 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- ISBNet
1 variant name, as the archive lists them.
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