visionfamily
DETR
Meta end-to-end transformer detector that predicts a set of boxes without anchors or non-maximum suppression; the base of RT-DETR and RF-DETR.
Levelfamily
Classvision
Parametersnot in the notes
Contextnot in the notes
Released26 May 2020
Opennessopen weights permissive
Runs onmobile or NPU, CPU server
Statusactive
Lineage
DETR ResNet-101 belongs to this familyvision26 May 202060.68MDETR ResNet-50 belongs to this familyvision26 May 202041MDETR ResNet-50 panoptic belongs to this familyvision26 May 2020Where 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.
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
- –
- Note
- DETR R50, R101 and DC5; panoptic heads.
- 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
- open weights permissive
- Licence
- Apache License 2.0 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, Apple Core ML, 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.
Links
DeveloperMetabig tech, USA
Metabig tech, USAModelDETRMeta, vision
DETRMeta, 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.Models 3
Organisations 1
Sources
- arxiv.org/abs/2005.12872 https://arxiv.org/abs/2005.12872
- huggingface.co/facebook/detr-resnet-50 https://huggingface.co/facebook/detr-resnet-50
- ai.azure.com/catalog/models?task=image-segmentation https://ai.azure.com/catalog/models?task=image-segmentation
- aihub.qualcomm.com/models/detr_resnet50 https://aihub.qualcomm.com/models/detr_resnet50
- github.com/facebookresearch/detr https://github.com/facebookresearch/detr
- github.com/openvinotoolkit/open_model_zoo/tree/master/mo... https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/detr-resnet50
- developer.apple.com/machine-learning/models https://developer.apple.com/machine-learning/models/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DETR", https://aurion.semai.id/models/meta-detr/, records of October 2026.