Project AURIONAI Use-Cases Research & Innovation
Google
vision

Objectron 3D object detection

On-device 3D bounding box detection for everyday objects from MediaPipe, trained on the Objectron dataset.

GoogleGoogleUSA
Figure from the Objectron 3D object detection paper: Our dataset consists of object-centric videos, which capture different views of the same objects from different angles.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released18 Dec 2020
Opennessunknown
Runs onmobile or NPU
Statusdeprecated

R&D Topics

LiDAR and multi-sensor 3D perceptionproduced byEfficient vision networks for mobile and edge devicesproduced by

Identity

Developer
Google
Family
not in the notes
Released
18 Dec 2020 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
not in the notes
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
MediaPipe legacy models for shoes, chairs, cameras and cups; support ended March 2023 per the coverage entry.
Context length
not in the notes
Input
image
Output
3D
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
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
mobile or NPU
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2012.09988 https://arxiv.org/abs/2012.09988
  2. github.com/google-ai-edge/mediapipe/blob/master/docs/sol... https://github.com/google-ai-edge/mediapipe/blob/master/docs/solutions/models.md

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Objectron 3D Object Detection", https://aurion.semai.id/models/google-objectron/, records of October 2026.