Mlops, AI, Machine Learning, Computer Vision, Data Science.
data at scale (i.e. 1M+ datasets) is perhaps the second most expensive process after model training. Controlling the quality of the labels is often the hardest challenge. Foundation Models could improve auto-labelling, and overtime take this stage out of the CV pipeline. Model Training: Once you