vision
YOLO11
Earlier Ultralytics multi-task YOLO model, described as the mature option for stable production.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released16 Oct 2024
Opennessopen source
Runs onembedded GPU, single datacentre GPU
Statusactive
Benchmark Results
independent
COCO val valdomain
val, M size, as reported in RF-DETR paperindependent
48.3
03570
Score in AP. Higher is better.
val, S size, as reported in RF-DETR paperindependent
44.1
03570
Score in AP. Higher is better.
val, N size, as reported in RF-DETR paperindependent
37.1
03570
Score in AP. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
successorfinetune
YOLOv11 FFB ripeness grader (IJCCS 2025) is a child (finetune)medium 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, 5 models. Confidence and evidence are the notes' own.
Identity
- Developer
- Ultralytics
- Family
- not in the notes
- Released
- 16 Oct 2024 sourcesregistry date
- 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
- CNN
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- 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 source
- Licence
- GNU Affero General Public License v3.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- embedded GPU, 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.
Industry Use Cases
No industry use case links this model.
Links
Developer
Ultralyticscompany, USA
Model
YOLO11Ultralytics, vision
Use 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 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.Models 2
Organisations 1
Sources
- Models Supported by Ultralytics | Ultralytics Docs docs.ultralytics.com https://docs.ultralytics.com/yolo/
- RF-DETR: Neural Architecture Search for Real-Time Detection Transformers arxiv.org https://arxiv.org/html/2511.09554v2
- huggingface.co/api/models/Ultralytics/YOLO11 https://huggingface.co/api/models/Ultralytics/YOLO11
- Ultralytics YOLO26 | Ultralytics Docs docs.ultralytics.com https://docs.ultralytics.com/models/yolo26/
- Optimization of Palm Fruit Ripeness Detection With Yolov11 on CPU | Anniswa | IJCCS (Indonesian Journal of Computing and Cybernetics Systems journal.ugm.ac.id https://journal.ugm.ac.id/ijccs/article/view/111253
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "YOLO11", https://aurion.semai.id/models/ultralytics-yolo11/, records of October 2026.