Data Labeling

algorithms assume you’re working with completely unlabeled data. But in the event you’ve actually worked on these problems, the fact is commonly different. In practice, anomaly detection tasks often include at the very...

A typical view in current machine learning research is that machine learning itself may be used to enhance the standard of AI dataset annotations – particularly image captions intended to be used in vision-language...

truth isn't perfect. From scientific measurements to human annotations used to coach deep learning models, ground truth all the time has some amount of errors. ImageNet, arguably essentially the most well-curated image dataset...