Dimitris shares insights on the complexities of weed detection, emphasizing the challenges of annotating images accurately. He reflects on how his perspective on data's role in deep learning has evolved, now viewing it as 90% of the solution. With automation in their data pipeline, they can quickly assess and train new models, significantly improving efficiency in the process.
