Model card
ResNet-152.
Microsoftopen-source60M paramsCNNMIT
78.6% on ImageNet (10-crop). Deep residual network.
§ 02 · Benchmarks
Every benchmark ResNet-152 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet | Computer Vision · Image Classification | top-5-accuracy | 96.4% | #2 | 2015-01-01 | source ↗ |
| 02 | ImageNet-1K | Computer Vision · Image Classification | accuracy | 80.6% | #12 | — | source ↗ |
| 03 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 78.6% | #18 | — | 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.
§ 04 · Papers
1 paper with results for ResNet-152.
- 2015-12-10· 1 result
Deep Residual Learning for Image Recognition
§ 05 · Related models
Other Microsoft models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-editorial
1
result
pwc-dump
1
result
microsoft-research
1
result
1 of 3 rows marked verified.