If you're building and ML models, what is your process for collecting data?<p>For Example:<p>1/ Do you have dedicated hardware pipelines that send images/video/audio/text to a database in real-time or do you collect data in batches and then offload later?<p>2/ Do you collect mobile sensor data (iOS/Android) or do you have custom hardware?<p>3/ Do you rely on open source data sets like ImageNet / Google Open Images / Kaggle / Fishnet or are you collecting images for a use case that those data sets don't solve?