1.0.0
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Container
PAIDF Auto Labeling is an automated data annotation pipeline that processes raw video data through object detection, multi-object tracking, vision-language model (VLM) classification, and multiple-choice question (MCQ) generation stages. It produces high-quality pseudo-labels for training computer vision models in NVIDIA Metropolis synthetic data generation workflows.
1.0.0
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Governing Terms:
GOVERNING TERMS: The blueprint software, including deployment files and scripts, is governed by the Apache 2.0 License, and enables use of separate open source and proprietary software, containers, models, datasets and skills governed by their respective licenses below.
- Models
- Metropolis - Custom Finetuned Cosmos Predict 2 (NVIDIA Open Model Agreement)
- Custom Finetuned Qwen-Image-Edit (NVIDIA Open Model Agreement)
- TAO Commercial Pretrained NV-Dinov2 Model (NVIDIA Open Model License)
- NVIDIA/C-RADIOv3-B (NVIDIA Open Model License)
- NVIDIA Cosmos-Predict2 (Apache 2.0 License)
- NVIDIA Cosmos-Predict2-2B-Text2Image (NVIDIA Open Model License)
- NVIDIA Cosmos-Transfer2.5-2B (NVIDIA Open Model License)
- Facebook/dinov2-large (Apache 2.0 License)
- facebook/sam2-hiera-large-hf (Apache 2.0 License)
- Qwen/Qwen3-VL-4B-Instruct (Apache 2.0 License)
- Qwen3-235B-A22B(Apache 2.0 License)
- Qwen3-VL-30B-A3B-Instruct(Apache 2.0 License)
- Qwen2.5-14B-Instruct(Apache 2.0 License)
- ByteDance-Seed/SeedVR (Apache 2.0 License)
- rf-detr(Apache 2.0 License)
- BoostTrack(MIT License)
- ByteTrack(MIT License)
- Deep-OC-SORT(MIT License)
- CLIP ReID(MIT License)
- Software
- Containers and NIMs (NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products)
- NVIDIA Isaac Sim (NVIDIA Software License Agreement and NVIDIA Isaac Sim Additional Software and Materials License)
- CUDA (various end user licenses and NVIDIA Deep Learning Container License)
- NVIDIA Cosmos-Transfer 2.5 (Apache 2.0)
- NVIDIA Cosmos-Predict 2.5 (Apache 2.0)
- sjtuplayer/anomalydiffusion (MIT License)
- haotian-liu/LLaVA (Apache 2.0)
- Data
- Sample images from NV-PCB AOI dataset (NVIDIA Sample Data License, attached)
- Sample Spark Bpard PCBA USD dataset (NVIDIA Sample Data License, attached)
- TAD (MIT License)
- NVIDIA Physical AI Skills (Apache 2.0)