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I will build custom yolo and CNN models for real time object detection
Shabir Ahmad
About this gig
Need Fast & Accurate Object Detection?
I build custom YOLO and CNN models for real-time detection with production-grade accuracy.
WHAT YOU GET:
Custom Model Development
YOLO (v5/v8/v10) or CNN based on your needs
Trained on your dataset or custom data
Optimized for speed AND accuracy
Complete Implementation
Real-time detection pipeline (camera/video/images)
Clean, documented Python code
Bounding boxes, confidence scores, labels
Integration support if needed
Performance & Deployment
Model optimization for edge devices
GPU/CPU tuning based on target
Full documentation and setup guide
TECH STACK:
PyTorch | TensorFlow | Keras | OpenCV | YOLO | NumPy
USE CASES:
Security & surveillance systems
Retail product recognition
Traffic & vehicle detection
Manufacturing quality control
Custom business applications
PACKAGES:
BASIC ($90) - Single class, basic script, 3 days
STANDARD ($120) - Multi-class, full pipeline, 5 days
PREMIUM ($200) - Production system, deployment, 7 days
️ MESSAGE BEFORE ORDERING
Tell me: what to detect, input source, deployment target
Get to know Shabir Ahmad
Shabir Ahmad
WordPress and Elementor Expert
- FromPakistan
- Member sinceNov 2023
Languages
Spanish, German, English, French
WordPress, React & AI Developer | Web Apps, Speed Optimization & Bug Fixes
Hi there! I’m a dedicated developer with over 4 years of professional experience in WordPress, React, React Native, AI using Python (Flask), and modern web development. I specialize in building, customizing, and optimizing high-performance websites and applications that are fast, secure, mobile-friendly, and SEO-optimized.
Whether you need a simple WordPress fix or a dynamic web application, I bring both technical expertise and creative insight to deliver exceptional digital experiences tailored to your needs.
My Portfolio
FAQ
Q1: What's the difference between YOLO and CNN?
A: YOLO is faster for real-time detection. I'll recommend the best approach based on your speed vs accuracy needs.
Q2: Can you work with my custom dataset?
A: Absolutely! I can train on your data or help you collect and annotate images if needed.
Q3: Will it work on Raspberry Pi or edge devices?
A: Yes! I optimize models for edge deployment with ONNX/TensorRT/TFLite conversion for efficient performance.
Q4: Do you provide the trained model files?
A: Yes - you get complete model weights (.pt/.h5), source code, and all necessary files.
Q5: Can you integrate this with my existing system?
A: Yes, I can provide REST API, Docker container, or direct Python library integration as needed.
Q6: What if I need more classes added later?
A: Contact me after delivery - I offer discounted rates for existing clients who need updates.
Q7: Do you work on academic/research projects?
A: Yes! I help students with Final Year Projects and researchers with paper implementations.
