# Family-wise Classification on SmellNet V (unseen ingredients)

Source: [Family-wise Classification on SmellNet V (unseen ingredients)](<https://www.sota2.com/research/sota/family-wise-classification-on-smellnet-v-unseen-ingredients>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-26T09:11:14.973Z

Evaluation of model performance on family-wise classification using the unseen ingredients split of the SmellNet V dataset, measured by Accuracy and F1 score.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Family-wise Classification |
| Dataset (including any stated split) | SmellNet V (unseen ingredients) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/family-wise-classification-on-smellnet-v-unseen-ingredients.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/family-wise-classification-on-smellnet-v-unseen-ingredients.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| See & Sniff | 52.97 | Not recorded | 6a3e07d1206542251d7cb77e |
| Global-CLIP | 51.14 | Not recorded | 6a3e07d1206542251d7cb77e |
| SmellNet | 46.58 | Not recorded | 6a3e07d1206542251d7cb77e |
| Chance | 20 | Not recorded | 6a3e07d1206542251d7cb77e |

### See & Sniff

Accuracy: 52.97. Result ID: 6a3e422dfbc373592c60e697.

[Reporting paper](<https://www.sota2.com/research/paper/6a3e07d1206542251d7cb77e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a3e07d1206542251d7cb77e.md>)

Recorded evaluation configuration: {"Zero-shot":"true"}. This record does not assert independent reproduction.

### Global-CLIP

Accuracy: 51.14. Result ID: 6a3e422dfbc373592c60e696.

[Reporting paper](<https://www.sota2.com/research/paper/6a3e07d1206542251d7cb77e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Zero-shot":"true"}. This record does not assert independent reproduction.

### SmellNet

Accuracy: 46.58. Result ID: 6a3e422dfbc373592c60e695.

[Reporting paper](<https://www.sota2.com/research/paper/6a3e07d1206542251d7cb77e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c0e1e209131cea8c2a2.md>)

Recorded evaluation configuration: {"Zero-shot":"true"}. This record does not assert independent reproduction.

### Chance

Accuracy: 20. Result ID: 6a3e422dfbc373592c60e694.

[Reporting paper](<https://www.sota2.com/research/paper/6a3e07d1206542251d7cb77e.md>)

Recorded evaluation configuration: {"Zero-shot":"true"}. This record does not assert independent reproduction.

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