|
gptkbp:instance_of
|
gptkb:speeches
|
|
gptkbp:analyzes
|
facial features
|
|
gptkbp:analyzes_variations_in
|
lighting conditions
|
|
gptkbp:applies_to
|
face verification
|
|
gptkbp:architecture
|
gptkb:neural_networks
|
|
gptkbp:benefits
|
large datasets
|
|
gptkbp:collaborated_with
|
academic institutions
|
|
gptkbp:competes_with
|
other facial recognition systems
|
|
gptkbp:contributes_to
|
biometric identification
|
|
gptkbp:developed_by
|
gptkb:Tensor_Flow
gptkb:Facebook
|
|
gptkbp:enables
|
user authentication
|
|
gptkbp:enhances
|
user experience
|
|
gptkbp:enhances_detection_of
|
facial expressions
|
|
gptkbp:evaluates
|
face similarity
|
|
gptkbp:facilitates
|
photo tagging
|
|
gptkbp:has_achieved
|
gptkb:Facebook_AI_Research
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Face
|
|
gptkbp:improves
|
continuous learning
security systems
|
|
gptkbp:improves_detection_of
|
occluded faces
|
|
gptkbp:influenced_by
|
convolutional neural networks
|
|
gptkbp:influences
|
future AI developments
|
|
gptkbp:input_output
|
identity verification
face images
|
|
gptkbp:integrates_with
|
gptkb:mobile_applications
|
|
gptkbp:is_a_subject_of
|
numerous studies
|
|
gptkbp:is_adopted_by
|
various industries
security firms
|
|
gptkbp:is_compared_to
|
traditional methods
human accuracy
|
|
gptkbp:is_considered_as
|
state-of-the-art technology
|
|
gptkbp:is_criticized_for
|
ethical implications
|
|
gptkbp:is_discussed_in
|
technology conferences
|
|
gptkbp:is_evaluated_by
|
peer-reviewed journals
human performance
benchmark datasets
|
|
gptkbp:is_featured_in
|
media articles
|
|
gptkbp:is_integrated_with
|
surveillance systems
other AI technologies
|
|
gptkbp:is_part_of
|
AI ethics discussions
AI research community
|
|
gptkbp:is_promoted_by
|
tech influencers
|
|
gptkbp:is_recognized_by
|
industry awards
|
|
gptkbp:is_supported_by
|
government initiatives
|
|
gptkbp:is_tested_for
|
real-world scenarios
|
|
gptkbp:is_used_in
|
law enforcement applications
|
|
gptkbp:issues
|
privacy issues
|
|
gptkbp:performance
|
97.25%
|
|
gptkbp:provides_information_on
|
4 million images
|
|
gptkbp:release_year
|
gptkb:2014
|
|
gptkbp:requires
|
high computational power
|
|
gptkbp:supports
|
real-time processing
|
|
gptkbp:technology
|
gptkb:Artificial_Intelligence
|
|
gptkbp:trains
|
diverse demographics
|
|
gptkbp:used_in
|
social media applications
|
|
gptkbp:uses
|
deep learning
|
|
gptkbp:utilizes
|
transfer learning
|
|
gptkbp:was_a_demonstration_of
|
research papers
|
|
gptkbp:bfsParent
|
gptkb:VGGFace
|
|
gptkbp:bfsLayer
|
8
|