I will develop custom computer vision models and AI Python solutions

Looking for a Computer Vision AI expert to turn image and video data into actionable automations
I build high-performance, real-time Computer Vision pipelines and Deep Learning models tailored to your specific business requirements using Python, OpenCV, PyTorch, and TensorFlow.
What I Offer?
Object Detection Tracking: Real-time detection, counting, and tracking using YOLOv8, YOLOv11, and DeepSORT.
Image Segmentation: Instance and semantic segmentation (SAM, Mask R-CNN, UNet).
Facial Recognition Biometrics: Face detection, emotion recognition, and attendance tracking systems.
OCR Text Extraction: Extracting structured data from documents, labels, and images using Tesseract, EasyOCR, and PaddleOCR.
Pose Estimation Action Recognition: MediaPipe and OpenPose integrations for fitness, sports analytics, and safety compliance.
Tools Technologies
Languages: Python
CV Libraries: OpenCV, PIL, Scikit-Image, MediaPipe, Roboflow
Frameworks: PyTorch, TensorFlow, Keras, YOLO (v5v8v11)
Deployment: Streamlit
Why Work With Me?
Clean, production-ready, and well-documented Python code.
Expertise in handling custom dataset labeling and annotation pipelines.
Focus on high accuracy, low latency, and scalable architecture.