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I will train a custom yolov8 object detection model for your dataset
Robotics and Autonomous Systems Engineer
I am a robotics engineer with extensive experience in the field. I have completed several high-level projects, including multiple quadcopters and TurtleBot integrations. Currently, I am developing a r...
About this Gig
Need a custom object detection model trained for your specific use case? I'll take your images and turn them into a working YOLOv8 model from raw data to a model that detects what you actually need it to detect.
I will help you with custom YOLOv8 training, dataset annotation, and model evaluation, whether you're working on a research project, a product prototype, or a real-world deployment.
What I Offer:
- Dataset annotation/labeling (Roboflow, CVAT, LabelImg)
- Data cleaning, preprocessing & augmentation
- Custom YOLOv8 training (nano to large variants)
- Model evaluation: precision, recall, mAP, confusion matrix
- Export to ONNX / TensorRT / TFLite for deployment
- Demo video of the model running on test images/video
- Well-documented Google Colab notebook
Whether you're detecting objects for robotics, retail, agriculture, security, or research, I can take you from raw images to a working detection model.
Tools & Technologies:
Python, PyTorch, Ultralytics YOLOv8, OpenCV, Roboflow, Google Colab, ONNX
Message me before ordering if your dataset size, number of classes, or deployment target differs from the packages happy to adjust.
My Portfolio
FAQ
What format should my dataset be in?
Any common image format (JPG/PNG) works. If your images are already labeled, send them in YOLO, COCO, or Pascal VOC format. If they're unlabeled, I can annotate them as part of the package.
Do I get the annotated dataset along with the trained model?
Yes — you'll receive the annotated dataset, the trained model weights, the training notebook, and an evaluation report.
