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Fiverr Pro
English
$
USD
I will train custom object detection, yolo and computer vision models
About this Gig
Are you building a smart surveillance system, an automated quality inspection tool, a vehicle tracking solution, or any computer vision application that needs to see and understand the world in real time?
I will train a custom, production-ready object detection model tailored to your exact use case from dataset preparation all the way to deployment.
What I Can Build For You:
- Custom object detection (YOLO, Faster R-CNN)
- Vehicle and pedestrian detection and tracking
- Industrial defect and anomaly detection
- Pose estimation and human activity recognition
- Automatic License Plate Recognition (ALPR)
- PPE compliance and safety monitoring
- Medical image analysis and anomaly detection
- Product and inventory detection for retail and warehouses
Why Work With Me?
I am not just a developer who runs training scripts. I am an ML Engineer with hands-on experience building real-world computer vision systems at the National Center of Artificial Intelligence (NCAI). My projects have included:
- YOLOv8-based intrusion detection systems
- Multimodal activity detection using InternVL2
- Spinal abnormality detection from X-rays
- Real-time vehicle and pedestrian tracking pipelines
APIs:
Google Cloud Vision API
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
FAQ
What types of objects can you detect with YOLO?
I can train YOLO models to detect virtually any object — people, vehicles, animals, products, defects, PPE, license plates, medical anomalies, and more. If you have a dataset or can describe the use case, I can build a custom model for it.
Do I need to provide a dataset, or can you help with that?
You can provide your own dataset, or I can assist with data collection, annotation (using tools like Roboflow or LabelImg), and preprocessing as part of the project. Dataset preparation is included in all packages.
Which YOLO version do you use?
I primarily work with YOLOv8 (the latest and most accurate), but I can also work with YOLOv5 or other versions depending on your deployment environment or specific requirements.
What will I receive as the final deliverable?
You'll receive the trained model weights (.pt file), inference script, performance metrics (mAP, precision, recall), and full documentation. The Premium package also includes a complete pipeline with API integration and cloud deployment.
Can the model run in real-time on a webcam or video stream?
Yes. I can integrate the model with OpenCV for real-time inference on webcam, RTSP streams, or video files. Just let me know your use case during the order.
What if my model's accuracy isn't satisfactory?
I offer revisions to improve model performance. The Standard and Premium packages include model testing, optimization, and fine-tuning to ensure you get production-ready accuracy.
How much data do I need for training?
It depends on the complexity of the task. Generally, 200–500 annotated images per class is a good starting point. I can advise on the minimum viable dataset for your specific project during consultation.
Can you integrate the model into my existing application or API?
Yes. The Premium package includes full API integration using FastAPI or Flask, so the model can be easily called from your existing app, website, or backend system.
What if I'm not sure which package is right for me?
Feel free to message me before ordering! I'll ask a few questions about your use case, dataset size, and deployment needs to recommend the best fit.
