I will build deep learning computer vision yolo object detection opencv image processin

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Custom Web Infrastructure, Advanced Automations And Computer Vision

Are you ready to turn complex digital bottlenecks into streamlined, revenue-generating engines? I specialize in building custom web infrastructure, intelligent form automations, and advanced AI soluti...
À propos de ce service

A computer vision model that works on a sample image can still fail when exposed to real images, video, lighting changes, camera angles, or your actual dataset.


Poor detection, inconsistent classification, weak training data, slow inference, incorrect bounding boxes, and models that only work in demonstrations can waste both time and development budget.


Get a complete computer vision solution built around the actual task, dataset, and expected output. From YOLO object detection and image processing to deep learning, machine learning, OpenCV, classification, segmentation, tracking, and OCR, the focus is on a working result with source code and testable output.


WHAT YOU GET:

  • Video and live camera processing
  • Dataset labeling and image annotation
  • Bounding box preparation
  • Model training and fine tuning
  • Accuracy testing with results report
  • OpenCV preprocessing pipeline
  • YOLO object detection and tracking
  • Image classification models
  • Segmentation and masking
  • Face recognition systems
  • OCR and text data extraction
  • Pose estimation for sports and fitness


Send the project brief and a sample of your images or video before ordering.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Traitement d'images

Langage de programmation:

Python

SQL

NoSQL

MLflow

Amazon SageMaker

Outils:

Jupyter Notebook

opencv

tensorflow

MLflow

Amazon SageMaker

Frameworks:

Scikit-learn

SimpleCV

keras

PyTorch

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