I will train a custom yolo object detection model on your dataset

I train custom YOLO object detection models on your own dataset from raw images to a working, evaluated model. My background combines computer vision (OpenCV, PyTorch, YOLO) with real-world robotics, where I built vision systems for competitive underwater robots used in the MATE ROV International Competition.

How it works:

You send me your dataset (labeled or unlabeled), tell me what you need detected, and I handle the rest data prep, training, evaluation, and delivery.

Basic: Train YOLO on your pre-labeled dataset (up to 500 images), 1 object class. Trained weights + accuracy report.

Standard: Up to 3 object classes, with data augmentation and hyperparameter tuning for better accuracy. Includes validation metrics (mAP, precision/recall) + an inference script.

Premium: Full pipeline annotation review, multi-class training, model optimization for deployment (ONNX/TensorRT export), plus a working demo script or simple inference API.

Stack: YOLO, PyTorch, OpenCV, Python, NumPy, Pandas.

Process:

1. Receive & review your dataset
2. Clean/prepare data
3. Train the model
4. Evaluate + tune
5. Deliver weights, metrics, and script

Message me with your dataset and use case let's get your model trained