Project AURIONAI Use-Cases Research & Innovation
Meta
vision

Mask R-CNN

Extends Faster R-CNN with a mask branch for instance segmentation; the reference instance segmentation model in Detectron2 and MMDetection.

Figure from the Mask R-CNN paper: The Mask R-CNN framework for instance segmentation.
Levelvariant
Classvision
Parametersnot in the notes
Contextnot in the notes
Released20 Mar 2017
Opennessunknown
Runs onmobile or NPU, CPU server
Statusactive

R&D Topics

Identity

Developer
Meta
Family
R-CNN family
Released
20 Mar 2017 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
R50, R101, X101, X152, LVIS long-tail, Swin-T and LSJ schedules in Detectron2, MMDetection, TorchVision, TF Model Garden and NVIDIA DLE.
Context length
not in the notes
Input
image
Output
image
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.
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/1703.06870 https://arxiv.org/abs/1703.06870
  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. aihub.qualcomm.com/models/maskrcnn https://aihub.qualcomm.com/models/maskrcnn
  4. github.com/pytorch/vision https://github.com/pytorch/vision
  5. github.com/openvinotoolkit/open_model_zoo/tree/master/mo... https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/mask_rcnn_inception_resnet_v2_atrous_coco
  6. huggingface.co/OpenVINO/maskrcnn_r50-fp16-ov https://huggingface.co/OpenVINO/maskrcnn_r50-fp16-ov
  7. catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/models/maskrcnn__pyt_ckpt https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/models/maskrcnn__pyt_ckpt
  8. arxiv.org/html/1703.06870 https://arxiv.org/html/1703.06870

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mask R-CNN", https://aurion.semai.id/models/mask-r-cnn/, records of October 2026.