Model card
ConvNeXt V2-H.
Meta AIopen-sourceFully Convolutional Masked Autoencoder (FCMAE) + ConvNeXt
§ 02 · Benchmarks
Every benchmark ConvNeXt V2-H has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CIFAR-100 | Vision & Documents · Image Classification | accuracy | 96.2% | #3 | 2026-04-20 | 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-H actually performs.
§ 05 · Related models
Other Meta AI models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-api
1
result
0 of 1 rows marked verified.