|
gptkbp:instance_of
|
gptkb:speeches
|
|
gptkbp:applies_to
|
image analysis
|
|
gptkbp:can_be_used_for
|
face recognition
face verification
face clustering
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:has_achieved
|
state-of-the-art accuracy
|
|
gptkbp:has_applications_in
|
social media
security systems
surveillance
photo organization
|
|
gptkbp:has_limitations
|
sensitivity to occlusions
requires large amounts of data
sensitivity to lighting
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Face Net
|
|
gptkbp:input_output
|
128-dimensional embeddings
|
|
gptkbp:introduced_in
|
gptkb:2015
|
|
gptkbp:is_adopted_by
|
universities
research institutions
startups
|
|
gptkbp:is_based_on
|
triplet loss function
|
|
gptkbp:is_compatible_with
|
gptkb:mobile_devices
|
|
gptkbp:is_documented_in
|
research papers
technical blogs
Git Hub repositories
|
|
gptkbp:is_enhanced_by
|
data augmentation
transfer learning
fine-tuning
|
|
gptkbp:is_evaluated_by
|
LFW dataset
Mega Face dataset
YTF dataset
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
|
|
gptkbp:is_influential_in
|
gptkb:speeches
gptkb:AI_technology
computer vision advancements
|
|
gptkbp:is_known_for
|
high accuracy
real-time processing
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
gptkb:Artificial_Intelligence
computer vision
|
|
gptkbp:is_related_to
|
gptkb:neural_networks
gptkb:machine_learning
image recognition
|
|
gptkbp:is_supported_by
|
gptkb:NVIDIA_GPUs
gptkb:TPUs
|
|
gptkbp:is_trained_in
|
large datasets
|
|
gptkbp:is_used_by
|
law enforcement agencies
tech companies
|
|
gptkbp:uses
|
deep learning
|
|
gptkbp:utilizes
|
inception architecture
|
|
gptkbp:bfsParent
|
gptkb:VGGFace
|
|
gptkbp:bfsLayer
|
8
|