Model card
ConvNeXt V2 Huge.
Metaopen-source650M paramsCNNMIT
88.9% on ImageNet. Best pure ConvNet.
§ 02 · Benchmarks
Every benchmark ConvNeXt V2 Huge has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet-V2 | Computer Vision · Image Classification | top-1-accuracy | 80.5% | #2 | — | source ↗ |
| 02 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 88.9% | #5 | — | 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 ConvNeXt V2 Huge actually performs.
§ 05 · Related models
Other Meta models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
meta-research
2
results
0 of 2 rows marked verified.