Project AURIONAI Use-Cases Research & Innovation
visionfamily

Inception (GoogLeNet)

Google family of image classification CNNs built from multi-branch Inception modules, from GoogLeNet (ImageNet 2014) to Inception v4 and Inception-ResNet v2.

GoogleGoogleUSA
Google
Levelfamily
Classvision
Parametersnot in the notes
Contextnot in the notes
Released17 Sep 2014
Opennessunknown
Runs onmobile or NPU, CPU server
Statusactive

Lineage

2014201520162017GoogLeNet (Inception v1)GoogLeNet (Inception v1), Sep 2014Inception v3Inception v3, Dec 2015Inception v4Inception v4, Feb 2016Inception-ResNet v2, Feb 2016
GoogleInception v4 belongs to this familyvision23 Feb 2016
GoogleInception-ResNet v2 belongs to this familyvision23 Feb 2016
GoogleInception v3 belongs to this familyvision2 Dec 201523.8M
GoogleGoogLeNet (Inception v1) belongs to this familyvision17 Sep 2014
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Image classification backbone architectures (CNN and vision transformer)produced by

Identity

Developer
Google
Family
not in the notes
Released
17 Sep 2014 sourcesannouncement page
Weights published
–
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
–
Note
Inception v1 (GoogLeNet), v2, v3, v4 and Inception-ResNet v2.
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
unknown
Licence
not in the notes sources
Access routes
open weights download, cloud marketplace
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
mobile or NPU, CPU server
Footprint
Edge or toolkit builds listed in: Qualcomm AI Hub, OpenVINO, TI edge AI model zoo.
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/1409.4842 https://arxiv.org/abs/1409.4842
  2. jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
  3. huggingface.co/timm/inception_v3.tv_in1k https://huggingface.co/timm/inception_v3.tv_in1k
  4. aihub.qualcomm.com/models/googlenet https://aihub.qualcomm.com/models/googlenet
  5. github.com/pytorch/vision/blob/main/torchvision/models/g... https://github.com/pytorch/vision/blob/main/torchvision/models/googlenet.py
  6. aihub.qualcomm.com/models/inception_v3 https://aihub.qualcomm.com/models/inception_v3
  7. github.com/pytorch/vision/blob/main/torchvision/models/i... https://github.com/pytorch/vision/blob/main/torchvision/models/inception.py

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Inception (GoogLeNet)", https://aurion.semai.id/models/google-inception/, records of October 2026.