Model card
EfficientNet-B0.
Googleopen-source5.3M paramsCNNApache 2.0
77.1% on ImageNet. Baseline for compound scaling.
§ 02 · Benchmarks
Every benchmark EfficientNet-B0 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 77.1% | #19 | — | 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 EfficientNet-B0 actually performs.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
google-research
1
result
0 of 1 rows marked verified.