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 | ImageNet | Computer vision · Image classification | top-1 accuracy | 88.9% | #3 | 2026-04-22 | 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.
GENRE
1 result · 1 SOTA
SeamlessM4T v2 Large
2.3B params · 1 result · 1 SOTA
wav2vec 2.0 Large (960h)
317M params · 3 results
HuBERT Large (LS-960)
317M params · 2 results
DINOv2 (ViT-g) + Linear
Unknown params · 1 result
Fairseq S2T (MuST-C)
~150M params · 1 result
Mask2Former (Swin-L)
Unknown params · 1 result
MusicGen Large
3.3B params · 1 result
§ 06 · Sources & freshness
Where these numbers come from.
Codesota vision register
1
result
1 of 1 rows marked verified.