AI, Computer Vision, Image Processing, Machine Learning.
a large pool of workers. Semi-Supervised Learning: Minimize labeling by combining a few labeled examples with many unlabeled ones. Active Learning: Prioritize labeling of the most informative data that benefits model training, optimizing resource use. Quality Control Mechanisms: Establish robust