Who leads the ImageNet-V2 benchmark?

swin-v2-large currently leads ImageNet-V2 with a score of 84 on top-1-accuracy.

What is the state-of-the-art score on ImageNet-V2?

The state-of-the-art result on ImageNet-V2 is 84 (top-1-accuracy), achieved by swin-v2-large as of 2026.

How many models are tracked on ImageNet-V2?

Codesota tracks 2 models on ImageNet-V2.

When was the ImageNet-V2 leaderboard last updated?

The ImageNet-V2 leaderboard on Codesota includes results through 2026.

Codesota · Benchmark · ImageNet-V2Home/Leaderboards/Vision & Documents/Image Classification/ImageNet-V2

Unknown

ImageNet-V2.

Name: ImageNet-V2 Benchmark Results
Creator: Unknown
Published: 2026-01-01
License: https://creativecommons.org/licenses/by/4.0/

10K new test images following ImageNet collection process. Tests model generalization beyond the original test set.

Paper ↗Leaderboard ↓

§ 01 · Leaderboard

Results by metric.

Only 2 models on this benchmark

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Found a wrong score or missing run?

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top-1-accuracy

Top 1 Accuracy is the reported evaluation metric for ImageNet-V2. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for top-1-accuracyverifiedpapervendorcommunityunverified

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

Rank	Model	Trust	Score	Year	Links	Fix
01	swin-v2-large Non-API entry from microsoft-research	unverified	84	2026	Source ↗	Looks wrong?
02	convnext-v2-huge Non-API entry from meta-research	unverified	80.5	2026	Source ↗	Looks wrong?

§ 04 · Submit a result

Add to the leaderboard.

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