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Sam H
@sumayahashim
Computer Vision Engineer, YOLO, Object Detection and Tracking
Pakistan
Englisch
Über mich
Need a computer vision solution beyond a demo? I build object detection, multi object tracking, video analytics, edge AI, and real time inference systems using Python, YOLO, OpenCV, PyTorch, TensorFlow, ByteTrack, DeepSORT, ONNX, TensorRT, FastAPI, and NVIDIA Jetson.
My deployed PyroVision system combines YOLO11, ONNX Runtime, FastAPI, and Next.js for fire and smoke detection. It reached held out test mAP50 of 0.7642 and measured 37.642 FPS on a versioned CUDA video benchmark.
Share your data, deployment target, failure cases, and success criteria, and let’s define a clear first milestone.
Kompetenzen
Sam H
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Computer Vision
I will build a custom yolo object detection and tracking system
Portfolio
Arbeitserfahrung
Computer Vision Engineer
Black Emerald • Vollzeit
Feb 2024 - Feb 2026 • 2 yrs
I buit computer vision systems for object detection, tracking, video analytics, model evaluation, and production inference using Python, YOLO, OpenCV, PyTorch, TensorFlow, ByteTrack, ONNX, and FastAPI. My work includes Android vision diagnostics, agricultural pest detection, fire and smoke detection, sports player tracking, and edge video analytics on NVIDIA Jetson. I focus on dataset quality, measurable evaluation, failure analysis, real time performance, and deployment constraints.
