What is Triplet loss & Batch Triplet loss
what is Triplet loss
what is batch triplet loss
check whether images are similar or not
how to use triplet loss for image similarity
#triplets
#imageprocessing
#similarity
#anchor
#positive
#negative
#airport
#security
#image
Triplet loss is a loss function used in deep learning-based approaches for training neural networks to perform tasks such as face recognition or object categorization. The goal of triplet loss is to learn a similarity metric in a high-dimensional embedding space (also called feature space), where similar objects (e.g., images of the same person) are represented close to each other, while dissimilar objects are further apart.