vision
RT-DETR
Baidu and Peking University real-time DETR ('DETRs Beat YOLOs on Real-time Object Detection'); ancestor of the D-FINE/DEIM line (unverified).
Levelmodel
Classvision
Parameters43M
Contextnot in the notes
Released17 Apr 2023
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive
Lineage
successor
D-FINE is a child (successor)low confidencenotesWhere 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.
Identity
- Developer
- Baidu, Peking University
- Family
- not in the notes
- Released
- 17 Apr 2023 sourcesannouncement page
- Weights published
- –
- Record checked
- 10 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
- dense transformer Real-time DETR
- Total parameters
- 43M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 43.0M for rtdetr_r50vd
- Context length
- not in the notes
- Input
- image
- Output
- image, text
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 permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- single datacentre GPU
- 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.
Links
ModelRT-DETRBaidu, vision
RT-DETRBaidu, visionUse CasesSafety (PPE, Hazards, Fatigue)IndustrialVisual Quality Inspection and Defect DetectionIndustrialUse 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 2026PLN Indonesia Power with Huawei (PLTU Banten 3 Lontar)Research, 26 Nov 2025
PT Kilang Pertamina Internasional (Pertamina refineries)In production, 17 Oct 2025+5 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 2026PLN Indonesia Power with Huawei (PLTU Banten 3 Lontar)Research, 26 Nov 2025PT Kilang Pertamina Internasional (Pertamina refineries)In production, 17 Oct 2025+5 moreDeployments of these use cases; none names this model.Sources
- DETRs Beat YOLOs on Real-time Object Detection arxiv.org https://arxiv.org/abs/2304.08069
- huggingface.co/api/models/PekingU/rtdetr_r50vd https://huggingface.co/api/models/PekingU/rtdetr_r50vd
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "RT-DETR", https://aurion.semai.id/models/baidu-rt-detr/, records of October 2026.