Annotate key personal and document information on various US Driver's License (DL) templates crowdsourced from the internet. Workers will review images of US driver's licenses and accurately label the following fields: jurisdiction_name, credential_type, real_id_indicator, family_name, given_name, middle_name, suffix, date_of_birth, sex, height, weight, eye_color, hair_color, street_address, city, state, zip_code, document_number, class, endorsements, restrictions, date_of_issue, date_of_expiration, under_18_until, under_21_until, organ_donor_indicator, veteran_indicator, portrait, ghost_image, signature, and customer_id_number. This dataset will be used to train and improve document understanding and information extraction models for US driver's licenses.
Total Budget
-
Pay per Label
$5/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
crowdsourced us license templates
Software
Hiring Type
Required Location
Workload / Schedule
Most annotators should be able to finish the full set in 4–8 hours total, depending on experience.
Software
Data Type
Label Types
Subject Matter / Industry
Job Type
Share link