|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:achieves_performance_metric
|
m AP (mean Average Precision)
|
|
gptkbp:based_on
|
gptkb:Efficient_Net
|
|
gptkbp:can_be_used_in
|
real-time applications
|
|
gptkbp:collaborated_with
|
academic institutions
industry partners
|
|
gptkbp:competes_with
|
gptkb:YOLOv4
|
|
gptkbp:designed_for
|
scalable object detection
|
|
gptkbp:developed_by
|
gptkb:Google_AI
open-source principles
|
|
gptkbp:exhibited_at
|
AI conferences
|
|
gptkbp:has_achieved
|
state-of-the-art accuracy
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Efficient Det
|
|
gptkbp:improves
|
model efficiency
|
|
gptkbp:introduced_in
|
gptkb:2020
|
|
gptkbp:is_adopted_by
|
gptkb:scientific_community
industrial applications
|
|
gptkbp:is_available_in
|
gptkb:Tensor_Flow_Model_Garden
|
|
gptkbp:is_benchmarking_with
|
SSD models
|
|
gptkbp:is_compatible_with
|
gptkb:TPUs
|
|
gptkbp:is_designed_to
|
reduce computational cost
|
|
gptkbp:is_documented_in
|
research papers
technical reports
|
|
gptkbp:is_enhanced_by
|
transfer learning
data augmentation techniques
|
|
gptkbp:is_evaluated_by
|
gptkb:COCO_dataset
real-time performance
precision and recall metrics
user experience.
various hardware configurations
m AP on COCO test-dev
other object detection frameworks
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
|
|
gptkbp:is_integrated_with
|
gptkb:cloud_services
AI platforms
|
|
gptkbp:is_optimized_for
|
gptkb:mobile_devices
|
|
gptkbp:is_part_of
|
computer vision applications
Efficient family of models
|
|
gptkbp:is_promoted_by
|
gptkb:Google_Cloud
|
|
gptkbp:is_promoted_through
|
tutorials and workshops
|
|
gptkbp:is_recognized_as
|
efficient model architecture
|
|
gptkbp:is_recognized_for
|
flexibility in deployment
high performance-to-cost ratio
|
|
gptkbp:is_supported_by
|
community contributions
community forums
online resources
|
|
gptkbp:is_tested_for
|
scalability
edge devices
real-world datasets
various benchmarks
|
|
gptkbp:is_trained_in
|
large-scale datasets
|
|
gptkbp:is_used_in
|
gptkb:vehicles
|
|
gptkbp:is_utilized_for
|
image segmentation tasks
|
|
gptkbp:is_utilized_in
|
video analysis
smart city projects
augmented reality applications
|
|
gptkbp:performance
|
gptkb:Faster_R-CNN
|
|
gptkbp:provides
|
high accuracy with fewer parameters
|
|
gptkbp:suitable_for
|
image classification tasks
|
|
gptkbp:supports
|
multi-scale feature fusion
|
|
gptkbp:uses
|
gptkb:Neural_Architecture_Search
|
|
gptkbp:utilizes
|
compound scaling method
|
|
gptkbp:bfsParent
|
gptkb:YOLOv6s
|
|
gptkbp:bfsLayer
|
7
|