Model card
ConvNeXt V2 Base.
Metaopen-source89M paramsCNNMIT
Good balance of speed and accuracy.
§ 01 · Benchmarks
Every benchmark ConvNeXt V2 Base has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CIFAR-10 | Computer Vision · Image Classification | accuracy | 98.7% | #2 | — | 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.
§ 02 · Strengths by area
Where ConvNeXt V2 Base actually performs.
§ 04 · Related models
Other Meta models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
meta-research
1
result
0 of 1 rows marked verified.