The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Vision models in 2016

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
2 filters active, showing 30 of 1,072 recordsClear all

30

Models

25 organisations

53%

Open weights

9 open, 8 closed

2

Frontier

By Epoch's flag

83M

Largest traceable

ResNeXt-101 (64×4d)

2016

Span

7 with a traceable size

Releases

by month
Jan
Feb
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Jun
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Organisation

Country

Domain

Records

30
Vision models in 2016, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
3DMM-CNNUniversity of Southern California2016-1245MOpen
Elastic weight consolidationDeepMind2016-12—Not recorded
EnhanceNetMax Planck Institute for Intelligent Systems2016-12814,464Open
GAN-AdvancerOpenAI2016-12—Closed
HR-ResNet101Carnegie Mellon University (CMU)2016-1245MOpen
YOLOv2University of Washington2016-1251M *Open
DAC-CSRJiangnan University2016-11—Closed
DLDL (PASCAL)University of Oxford2016-11564M *Open
DTN (Domain Transfer Network)Facebook AI Research2016-11—Closed
Image-to-image cGANUniversity of California (UC) Berkeley2016-11—Not recorded
NASv3 (CIFAR-10)Google Brain2016-1137M *Not recorded
PolyNetChinese University of Hong Kong (CUHK)2016-1192M *Not recorded
ResNeXt-101 (64×4d)University of California San Diego2016-1183MOpen
ResNeXt-50University of California San Diego2016-1125M *Open
GAWWNUniversity of Michigan2016-10—Closed
XceptionGoogle2016-1023MNot recorded
ResNet-1001Microsoft2016-0910M *Not recorded
ResNet-200Microsoft Research Asia2016-09—Closed
Wide Residual NetworkUniversité Paris-Est2016-09—Not recorded
DenseNet-264Tsinghua University2016-0834MOpen
SimpleNetSensifai2016-085MNot recorded
CCLSenseTime2016-06—Closed
CMS-RCNNIEEE2016-06138M *Closed
PixelCNNGoogle DeepMind2016-06—Not recorded
R-FCNTsinghua University2016-06—Not recorded
LRR-4XUC Irvine2016-05138M *Open
Template AdaptationUniversity of Oxford2016-03138M *Closed
Inception-ResNet-V2Google2016-0256M *Not recorded
Inceptionv4Google2016-0243M *Not recorded
SqueezeNetDeepScale2016-021M *Not recorded

An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.

Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.

Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.

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