I will train yolo for object detection on your custom dataset

I will train and deliver a YOLO-based object detection pipeline for your use case (Ultralytics YOLOv8/YOLO11-style workflow unless you specify otherwise).

What you get

Dataset review + labeling format guidance (YOLO txt/COCO-style guidance as agreed)

Training setup, hyperparameters suited to your dataset size, and reproducible training notes

Metrics: mAP/Precision/Recall (what your dataset supports), training curves when useful

Best weights export + a simple inference script/notebook on sample images/videos

Visualization samples: predicted boxes on a few images (or short clip if included in package)

What I need

Your classes list + example images (or a clear description of objects to detect)

Dataset (images + labels) or agreement to work from a provided public dataset for a demo scope

Important

I do not help with surveillance, stalking, bypassing security, or any illegal use.

Accuracy depends on data quality, label consistency, and quantityI'll set realistic expectations upfront.

Message before ordering if you need segmentation (masks), edge deployment, or a very large custom pipeline.