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I will build custom yolo object detection and computer vision models for your cctv
AI and Computer Vision Engineer, YOLO, Deep Learning, Python
I'm a Full-Stack AI and ML Engineer with 4+ years building production-ready Computer Vision systems. I specialize in YOLO-based object detection, custom deep learning models, and end-to-end deployment...
About this Gig
Struggling to find someone who actually trains YOLO models that work in production?
I train custom YOLO object detection models on your own dataset with validated accuracy, clean code, and full documentation delivered fast and ready to deploy.
WHAT I TRAIN YOUR MODEL TO DETECT:
- Product defects and quality control
- Vehicle and traffic monitoring
- Wildlife and animal detection
- Retail inventory and shelf monitoring
- Agricultural crop and disease detection
- Medical imaging object detection
- Any custom object detection task
WHAT YOUR PROJECT INCLUDES:
- Custom YOLOv model training on your data
- Dataset preparation and augmentation
- mAP score validation and accuracy report
- Confusion matrix and performance metrics
- Clean Python code with full documentation
- Multiple export formats: PT, ONNX, TFLite
- Post-delivery support included
PERFECT FOR:
- Startups building AI vision products
- Researchers needing custom models
- Businesses automating visual inspection
- Students and academic projects
Message Me Before Ordering so I can review your dataset and confirm best approach.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do I need to provide a labeled dataset or can you label it for me?
If your dataset is already labeled in YOLO, COCO, or Pascal VOC format, we start training immediately. If your images are unlabeled, I offer annotation as an add-on service. Message me with your image count and I will give you a fast quote for labeling.
How many images do I need for good accuracy?
Yes. Labeling is available as a paid add-on using For basic detection, a minimum of 100-200 images per class works well. For higher before ordering and I'll quote you an honest timeline and cost. For large datasets (500+ images), I'll suggest a phased approach: label → train → validate → iterate.
Which YOLO version will you use for my project?
I primarily use YOLOv8 as it delivers the best balance of speed and accuracy for most projects. However I also support YOLOv5, YOLOv9, and YOLOv10 depending on your specific deployment requirements. Just mention your preference when ordering.
What format will the trained model be delivered in?
You will receive the model in PyTorch format (.pt) by default. On request I also export to ONNX, TensorRT, TFLite, or CoreML formats for specific deployment environments like mobile, edge devices, or web applications.
Will I own the trained model and source code?
Yes completely. Full ownership of the trained model weights, training scripts, inference code, and all documentation transfers to you upon delivery. No licensing fees or restrictions apply.
Is my dataset private? Do you sign NDAs?
Your data is never shared or retained. All files deleted within 7 days of delivery. NDA included on Premium, available as add-on on Basic and Standard.
What if my model accuracy is not satisfactory?
I include revisions in every package specifically for this reason. If accuracy is below the expected range after training, I retrain with adjusted hyperparameters, additional augmentation, or architecture changes until we hit the target performance.
How do I know which package is right for me?
Message me first. Tell me what to detect, your image count, and where it runs. I'll recommend the right package — no upselling.
