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ViT-Base

Google · 2020 · 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
2020
E · Expertise
Intermediate+
F · Free Tier
Yes
G · Generates
Text only
H · Deployment
Cloud + Local (open weights)
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
Yes — open weights
P · Pricing
Free (open weights, Apache 2.0)
Q · AIDb Rating
6/10 · AIDb v2.0 (rule-based): Capability 6/10 · Currency 4/10 · Access 9/10 · Significance 8/10 → 6.35
R · What Makes It Special
Google's Vision Transformer (ViT), introduced in 'An Image is Worth 16x16 Words' (October 2020), which applies a standard Transformer directly to sequences of image patches instead of relying on convolutional networks; pre-trained on large datasets and transferred to benchmarks such as ImageNet, CIFAR-100 and VTAB, it matched or beat state-of-the-art convolutional networks while needing substantially less compute to train. ViT-Base is the 86M-parameter base size of the family.
S · Stock / Status
$344 (GOOGL, Sep 25, 2026)
T · Training Cutoff
[UNKNOWN]
U · Users
[UNKNOWN]
V · Voice Chat
No
W · Weights
Downloadable
X · X Handle
@Google
Y · Year Founded
[UNKNOWN]
Z · Bottom Line
Open-weights Vision/CV from Google, released 2020.

Data completeness 88% · Last verified 2026-05-12 · Primary source ↗

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“ViT-Base.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/vit-base.html

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