Some friends run an AI bootcamp and helped me finding the initial set of users to help me with labelling. Initial labelled data was generated mostly through them, both manually labelling and with the approach described in https://useguard.com/experiment Also, the model I'm using relies heavily in transfer learning and achieves very reasonable results with few labelled items (the paper in which the technique is described actually maintains that with only 100 labelled examples they reached comparable results to using 10x that data in models that use older approaches)