Model card
CoCa (ViT-G/14).
Googleopen-source2.1B paramsContrastive Captioner on ViT-G/141 current SOTA
§ 02 · Benchmarks
Every benchmark CoCa (ViT-G/14) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet | Computer Vision · Image Classification | top-1-accuracy | 91.0% | #1 | 2022-05-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where CoCa (ViT-G/14) actually performs.
§ 04 · Papers
1 paper with results for CoCa (ViT-G/14).
- 2022-05-04· Computer Vision· 1 result
CoCa: Contrastive Captioners are Image-Text Foundation Models
Yu et al.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-editorial
1
result
1 of 1 rows marked verified.