Precision Vision: Advanced Computer Vision Solutions

Aditya Jangra

(0)

Starting at

$

2,000

About this service

Summary

I offer customized computer vision solutions, from model development to deployment, tailored to your specific needs. What makes me unique is my ability to combine cutting-edge techniques with practical, real-world applications, ensuring your vision systems are both innovative and highly effective. My deep understanding of both traditional and modern computer vision approaches allows me to deliver precise, scalable solutions.

Process

Initial Consultation & Requirement Analysis: Discuss project goals, requirements, and specific use cases to understand the client's vision and expectations.
2. Data Collection & Preparation: Gather relevant datasets and perform data pre-processing, including cleaning, annotation, augmentation, and splitting into training and validation sets.
3. Model Selection & Development: Choose the most suitable computer vision algorithms (e.g., CNN, YOLO) and develop a custom model tailored to the project’s needs.
4. Training & Optimization: Train the model using the prepared dataset, fine-tuning hyperparameters, and optimizing the model for performance, accuracy, and speed.
5. Evaluation & Validation: Evaluate the model using test data, analysing key performance metrics such as precision, recall, and accuracy, and validate its effectiveness in real-world scenarios.
6. Deployment & Integration: Export the model to the desired format (e.g., ONNX), create deployment scripts, and integrate the model into the client’s system or application, ensuring seamless operation.
7. Documentation & Reporting: Provide detailed documentation covering the model architecture, training process, and deployment instructions, along with a comprehensive performance report.
8. Revisions & Support: Offer revisions based on feedback, provide ongoing support for troubleshooting, and make necessary adjustments to ensure the model meets client expectations.

What's included

  • Custom Computer Vision Model

    -Description: A tailored computer vision model for tasks such as object detection, segmentation, or image classification. -Format: Model file in .h5, .pkl, or .onnx format. -Quantity: 1 model. -Revisions: Up to 2 rounds of revisions based on client feedback.

  • Detailed Algorithm Documentation

    -Description: Comprehensive documentation detailing the model architecture, algorithms used, data preprocessing, and implementation instructions. -Format: PDF document and Markdown file. -Quantity: 1 document. -Revisions: 1 round of revisions for clarity and detail.

  • Performance Metrics Report

    -Description: A report detailing the model’s performance, including accuracy, precision, recall, F1 score, and any other relevant metrics, along with insights for further improvements. -Format: PDF report and Excel file with raw data. -Quantity: 1 report. -Revisions: 1 round of revisions for additional analysis or clarification.

  • Deployment Script & Integration Support

    -Description: A custom deployment script for integrating the computer vision model into the client’s environment, with support for troubleshooting and optimization. -Format: Python script and Docker container if applicable. -Quantity: 1 script. -Revisions: 1 round of revisions for deployment adjustments and optimization.

Duration

2 weeks

Skills and tools

Data Scientist
Backend Engineer
ML Engineer
Chainlink
ManyChat
OpenCV
Solidity
Zbrush

Industries

Autonomous Vehicles
Artificial Intelligence (AI)
Computer Vision

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