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YOLO

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3

MODELS · 1 SOURCE · Hugging Face

NVIDIA’s 'MonsterHouse' demo runs Nemotron Voice Agent with Bolt E4B 4GB and Magpie TTS

MonsterHouse is an interactive Halloween projection built by an NVIDIA employee that uses the Nemotron Voice Agent pipeline: nemotron-speech-streaming-en-0.6b.gguf for ASR, Nemotron 3.5 Bolt E4B 4GB as the local LLM (with a LoRA personality adapter), Magpie TTS Zeroshot for voice, Audio2Face-3D for lip animation, and Nemotron 3 Nano Omni plus YOLO/ByteTrack for costume description and tracking, all running on a single workstation.

4.0

RESEARCH · 1 SOURCE · arXiv cs.AI

Sketch2Sim: end-to-end framework converting hand-drawn circuit photos to SPICE-compatible netlists

The arXiv preprint (arXiv:2610.28836v1) presents Sketch2Sim, a multistage pipeline that converts photographs of hand-drawn resistor–inductor–capacitor (RLC) circuit sketches into executable SPICE-like netlists and computes nodal voltages and currents. The system uses dual YOLO detectors for components and text regions, a CRNN with CTC for text/value recognition, and image processing (thresholding, skeletonization) plus DBSCAN-based clustering to identify nodes; the authors release a curated dataset of 1,000 annotated hand-drawn RLC circuits and report ablation and end-to-end results across varied handwriting and lighting conditions.

5.0

MODELS · 1 SOURCE · AWS Machine Learning

Amazon SageMaker deploys Qwen-Image-Edit-2509 and Rekognition to augment industrial-safety datasets with synthetic people

Amazon demonstrates an end-to-end pipeline on SageMaker AI that uses the diffusion model Qwen-Image-Edit-2509 (hosted on an ml.g5.12xlarge with NVIDIA A10G GPUs) to insert photo-realistic synthetic people into real equipment images, then generates bounding-box annotations automatically via Amazon Rekognition DetectLabels; experiments reportedly showed up to 160% improvement in person-detection mAP50 without manual annotation. The workflow edits real scenes in-place to preserve background fidelity, deduplicates Rekognition boxes with NMS, and converts labels to YOLO format for training.

6.0