Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Lineage
finetune
YOLOv8 FFB ripeness grader (Gunadarma) 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, 2 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- Ultralytics
- Family
- not in the notes
- Released
- – sources
- 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
- not in the notes
- 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
- not in the notes
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
DeveloperUltralyticscompany, USA
Ultralyticscompany, USAModelYOLOv8Ultralytics, vision
YOLOv8Ultralytics, visionR&D TopicsReal-Time Object Detection (YOLO and DETR Lines)Plantation, Crop and Wildlife Monitoring Vision
Use CasesFresh Fruit Bunch Ripeness GradingAgricultureGanoderma (Basal Stem Rot) DetectionAgricultureSafety (PPE, Hazards, Fatigue)IndustrialVisual Quality Inspection and Defect DetectionIndustrial+2 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 2026PT LAT Trisakti (no named client)Planned, 12 Aug 2026PT Toba Agro Manunggal with BINUS (BDSRC)Research, 28 Jul 2026+17 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 2026PT LAT Trisakti (no named client)Planned, 12 Aug 2026PT Toba Agro Manunggal with BINUS (BDSRC)Research, 28 Jul 2026+17 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 2
Sources
- Optimalisasi Deteksi Tingkat Kematangan Tanda Buah Segar Kelapa Sawit Menggunakan YOLOV8 Dengan Platform Web | Jurnal Ilmiah Teknologi dan R ejournal.gunadarma.ac.id https://ejournal.gunadarma.ac.id/index.php/tekno/article/view/67
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "YOLOv8", https://aurion.semai.id/models/ultralytics-yolov8/, records of October 2026.