Project AURIONAI Use-Cases Research & Innovation
vision

MobileNet v1

The first MobileNet, built on depthwise separable convolutions with width and resolution multipliers.

GoogleGoogleUSAMobileNetFamily
Google
Levelvariant
Classvision
Parametersnot in the notes
Contextnot in the notes
Released17 Apr 2017
Opennessopen weights restricted
Runs onnot in the notes
Statusactive

Lineage

successor
MobileNet v1 to MobileNet v2: successor, high confidenceMobileNet v2 to MobileNet v3: successor, high confidenceMobileNet v1MobileNet v1Google, Apr 2017MobileNet v2MobileNet v2MobileNet v3MobileNet v3Google, May 2019
MobileNet v2 is a child (successor)high confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.

R&D Topics

Efficient vision networks for mobile and edge devicesproduced by

Identity

Developer
Google
Family
MobileNet
Released
17 Apr 2017 sourcesannouncement page
Weights published
10 Nov 2022
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image
Output
labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights restricted
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/1704.04861 https://arxiv.org/abs/1704.04861
  2. huggingface.co/google/mobilenet_v1_1.0_224 https://huggingface.co/google/mobilenet_v1_1.0_224

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MobileNet v1", https://aurion.semai.id/models/google-mobilenet-v1/, records of October 2026.