Computer Vision Datasets

Computer vision datasets are crucial for training and evaluating machine learning models that analyze images and videos. Current research emphasizes addressing biases within existing datasets, developing efficient methods for dataset creation and evaluation (including techniques like stratification and model-assisted estimation), and creating new benchmarks for specialized tasks such as machine unlearning and precision livestock farming. This work is vital for improving the fairness, accuracy, and efficiency of computer vision systems, impacting diverse applications from healthcare and agriculture to robotics and environmental monitoring.