vision
YOLOv3
Third YOLO with a DarkNet-53 backbone, from the paper "YOLOv3: An Incremental Improvement".
Levelvariant
Classvision
Parametersnot in the notes
Contextnot in the notes
Released8 Apr 2018
Opennessunknown
Runs onnot in the notes
Statusactive
Lineage
successor
YOLOv2 (YOLO9000) is the parent (successor)high 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
- University of Washington
- Family
- YOLO (original line, v1 to v3)
- Released
- 8 Apr 2018 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
- –
- Context length
- not in the notes
- Input
- image
- Output
- not in the notes
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.
Industry Use Cases
No industry use case links this model.
Links
DeveloperUniversity of Washingtonuniversity
University of WashingtonuniversityModelYOLOv3University of Washington, vision
YOLOv3University of Washington, 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 2
Organisations 1
Sources
- arxiv.org/abs/1804.02767 https://arxiv.org/abs/1804.02767
- github.com/onnx/models/tree/main/validated/vision/object... https://github.com/onnx/models/tree/main/validated/vision/object_detection_segmentation/yolov3
- arxiv.org/html/1804.02767 https://arxiv.org/html/1804.02767
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "YOLOv3", https://aurion.semai.id/models/yolo-v3/, records of October 2026.