Guide To Lightly: Tool For Curating Your Vision Data

Lightly, makes deep learning more efficient by popularizing the use of self-supervised methods to understand and filter raw image data. This solution and preprocessing of data can be applied before any data annotation, and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples that is efficient in training.  Self-supervised learning(falling under unsupervised learning) is an algorithm where a model generates output labels by finding relations among the parts of the data object or different views of objects. This can be correlated with active learning or semi-supervised learning or representation learning, which also adapts similar kinds of techniques. While transfer learning and pre-trained models have been more common i