Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cosmic_ray_detector
|
| gptkbp:application |
Real-time Object Detection
|
| gptkbp:architecture |
Single-stage Detector
|
| gptkbp:can_be_used_in |
gptkb:drones
gptkb:robotics gptkb:Gaming Disaster response Environmental monitoring Urban planning Autonomous vehicles Augmented reality Image segmentation Industrial automation Sports analytics Military applications Search and rescue operations Facial recognition Surveillance systems Traffic monitoring Content moderation Agricultural monitoring Wildlife monitoring Gesture recognition Retail analytics Smart cameras Object tracking Scene understanding Healthcare monitoring |
| gptkbp:can_detect |
gptkb:vehicles
gptkb:animals gptkb:humans Objects in images Objects in videos |
| gptkbp:developed_by |
gptkb:Joseph_Redmon
|
| gptkbp:evaluates |
F1 Score
Precision Recall |
| gptkbp:features |
Speed and accuracy
|
| https://www.w3.org/2000/01/rdf-schema#label |
YOLOv7
|
| gptkbp:input_output |
Bounding boxes and class probabilities
640x640 |
| gptkbp:is_a_framework_for |
gptkb:Py_Torch
|
| gptkbp:language |
gptkb:Python
|
| gptkbp:license |
GPL-3.0
|
| gptkbp:performance |
m AP (mean Average Precision)
|
| gptkbp:predecessor |
gptkb:YOLOv4
|
| gptkbp:provides_information_on |
gptkb:COCO_dataset
|
| gptkbp:release_date |
gptkb:2021
|
| gptkbp:repository |
gptkb:Git_Hub
|
| gptkbp:successor |
gptkb:YOLOv6
|
| gptkbp:supports |
GPU acceleration
FP16 precision Tensor RT optimization Multi-class detection |
| gptkbp:uses |
gptkb:neural_networks
Transfer learning Data augmentation techniques Anchor boxes |
| gptkbp:written_in |
gptkb:Python
|
| gptkbp:bfsParent |
gptkb:YOLO
|
| gptkbp:bfsLayer |
5
|