Utilize Google Cloud’s Data Labelling Service for automated data labeling and AutoML Object Detection for model training and deployment, leveraging Google Cloud's managed services to reduce manual effort and ensure scalability.

Employ the Vision API to detect logos in images for labeling purposes, then use AI Platform to construct and train a convolutional neural network, which may require additional customization for higher accuracy.

Organize images manually into two folders based on logo presence and absence, then use AI Platform to develop and train a convolutional neural network, a time-consuming process that may not be scalable.

Manually categorize images into two folders (logo present and absent), then leverage AI Platform to create and train a real-time object detection model, which may not be necessary given the startup's current requirements.