Codesota · Computer Vision · Image Classification · CIFAR-100Tasks/Computer Vision/Image Classification
Image Classification · benchmark dataset · 2009 · EN

Canadian Institute for Advanced Research 100.

60K 32x32 color images in 100 fine-grained classes grouped into 20 superclasses. More challenging than CIFAR-10.

Saturated benchmark

Benchmark near ceiling or stagnant — no meaningful SOTA movement in 2+ years

Paper ↗Download datasetSubmit a result ↵
§ 01 · Leaderboard

Best published scores.

4 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
accuracy · higher is better
accuracy· primary
4 rows
#ModelOrgSubmittedPaper / codeaccuracy
01ViT-H/14OSSGoogleDec 2025google-research94.55
02EfficientNet-B7OSSGoogleDec 2025google-research91.70
03ViT-B/16OSSGoogleDec 2025huggingface91.48
04ResNet-50OSSMicrosoftDec 2025cutout-paper78.04
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · accuracy
  1. Dec 18, 2025ViT-H/14Google94.55
Fig 3 · SOTA-setting models only. 1 entries span Dec 2025 → Dec 2025.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies