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CoAtNet

Google · 2021 · Vision/CV · USA

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A to Z

A · App
No
B · Built By
Google
C · CEO & Politics
Sundar Pichai — Centrist / historically bipartisan
D · Date
2021
E · Expertise
Intermediate+
F · Free Tier
No free tier
G · Generates
Text only
H · Deployment
Research
I · Inputs
Text
J · Jurisdiction
USA
K · Key Staffers
Jeff Dean (Chief Scientist), Sundar Pichai (CEO Alphabet)
L · Languages
English-primary
M · Model Type
Vision/CV
N · Safety Issues
Computer-vision risks: dataset bias, domain shift, privacy concerns in images, and unreliable performance outside benchmark-like settings.
O · Open Source
Proprietary
P · Pricing
Not sold (research model)
Q · AIDb Rating
4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 7/10 · Significance 4/10 → 4.45
R · What Makes It Special
Google's CoAtNet (June 2021), a family of hybrid image models that unify depthwise convolution and self-attention through relative attention and stack convolution and attention layers vertically for better generalization, capacity and efficiency; it reached 86.0% ImageNet top-1 accuracy with no extra data, 88.56% after pre-training on ImageNet-21K's 13M images, matching ViT-Huge pre-trained on 300M JFT images with 23x less data, and a record 90.88% when scaled up with JFT-3B.
S · Stock / Status
$344 (GOOGL, Sep 25, 2026)
T · Training Cutoff
[UNKNOWN]
U · Users
[UNKNOWN]
V · Voice Chat
No
W · Weights
API only
X · X Handle
@Google
Y · Year Founded
[UNKNOWN]
Z · Bottom Line
Proprietary Vision/CV from Google, released 2021.

Data completeness 88% · Last verified 2026-06-11 · Primary source ↗

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“CoAtNet.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/coatnet-google.html

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