vision

NVIDIA TAO pretrained detection and segmentation models

NVIDIA TAO Toolkit pretrained detection, segmentation and backbone models for fine-tuning and deployment with DeepStream and Isaac.

NVIDIAUSA

Levelmodel

Classvision

Parametersnot in the notes

Contextnot in the notes

Releasednot in the notes

Opennessunknown

Runs onnot in the notes

Statusactive

R&D Topics

Real-time object detection (YOLO and DETR lines)produced by Pretrained video analytics for people, vehicles, retail and safetyproduced by

Identity

Developer: NVIDIA
Family: not in the notes
Released: – sources
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: –
Note: DetectNet_v2 and other TAO pretrained backbones, FAN, FasterViT and GCViT backbones, PeopleSegNet and PeopleSemSegNet, Mask Auto Label, SegIC, SyntheticaDETR, RT-DETR 2D Warehouse.
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Links

Developer

NVIDIAbig tech, USA

Model

NVIDIA TAO pretrained detection and segmentation modelsNVIDIA, vision

R&D TopicsReal-Time Object Detection (YOLO and DETR Lines)Pretrained Video Analytics for People, Vehicles, Retail and Safety

Use CasesSafety (PPE, Hazards, Fatigue)Industrial Shelf and Store Operations Monitoring with Computer VisionRetail and Logistics Visual Quality Inspection and Defect DetectionIndustrial Driver and Fleet Safety MonitoringRetail and LogisticsUse 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 2026 PLN 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.

Graph

Organisations 1

NVIDIAbig tech, USADeveloper

R&D topics 2

Real-Time Object Detection (YOLO and DETR Lines)Detectors that find and box objects in images fast enough for live camera feeds on one GP…produced byPretrained Video Analytics for People, Vehicles, Retail and SafetyReady-trained detectors and classifiers for cameras that count people, read plates, check…produced by

Sources

catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_class... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_classification
catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_fan_c... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_fan_classification_imagenet
catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/mask_auto_label https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/mask_auto_label
catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/segic https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/segic
catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/synthetica_detr https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/synthetica_detr
catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/rtdetr_2d_wareho... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/rtdetr_2d_warehouse
catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/optimized-peop... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/optimized-peoplesemseg-amr

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "NVIDIA TAO Pretrained Detection and Segmentation Models", https://aurion.semai.id/models/nvidia-tao-detectnet/, records of October 2026.