The goal of this competition is to detect and translate American Sign Language (ASL) fingerspelling into text. You will create a model trained on the largest dataset of its kind, released specifically for this competition. The data includes more than three million fingerspelled characters produced by over 100 Deaf signers captured via the selfie camera of a smartphone with a variety of backgrounds and lighting conditions.
The evaluation metric for this contest is the normalized total levenshtein distance. Let the total number of characters in all of the labels be N and the total levenshtein distance be D. The metric equals