vision
Polyp Detection RT-DETR (Holoscan)
NVIDIA RT-DETR model for real-time polyp detection in endoscopy video on the Holoscan platform.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive
R&D Topics
Identity
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
- dense transformer
- 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
- 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
- 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.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperNVIDIAbig tech, USA
NVIDIAbig tech, USAModelPolyp Detection RT-DETR (Holoscan)NVIDIA, vision
Polyp Detection RT-DETR (Holoscan)NVIDIA, visionR&D TopicsMedical Image Segmentation and Screening AI (Radiology)Real-Time Object Detection (YOLO and DETR Lines)
Use CasesMedical Image SegmentationHealthcareChest X-Ray and TB ScreeningHealthcareMammography Cancer DetectionHealthcareEye ScreeningHealthcare+4 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Bukit Asam TbkIn production, 9 Sep 2026
PT Aneka Tambang Tbk (ANTAM), ferronickelIn production, 9 Sep 2026
Kementerian Kesehatan (Kemenkes), national TB programmeIn production, 13 Aug 2026Kemenkes TB programme with UGM, University of Melbourne, SAPDA, YPKMPResearch, 3 Aug 2026+15 moreDeployments of these use cases; none names this model.
PT Bukit Asam TbkIn production, 9 Sep 2026PT Aneka Tambang Tbk (ANTAM), ferronickelIn production, 9 Sep 2026Kementerian Kesehatan (Kemenkes), national TB programmeIn production, 13 Aug 2026Kemenkes TB programme with UGM, University of Melbourne, SAPDA, YPKMPResearch, 3 Aug 2026+15 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 2
Real-Time Object Detection (YOLO and DETR Lines)Detectors that find and box objects in images fast enough for live camera feeds on one GP…produced byMedical Image Segmentation and Screening AI (Radiology)Models that outline organs and lesions or flag disease on X-ray, CT, MRI and other scans.produced by
Sources
- catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/models/polyp... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/models/polyp_detection_rt_detr
- catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/models/polyp... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/models/polyp_detection_rt_detr_model
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Polyp Detection RT-DETR (Holoscan)", https://aurion.semai.id/models/nvidia-polyp-detection-rt-detr/, records of October 2026.