Results 21 to 30 of about 4,232 (214)
Performance comparison between YOLOv5s and MC-YOLOv5s.
, 2023 Performance comparison between YOLOv5s and MC-YOLOv5s.
Xinyu Liu (34266) +7 more
core +1 more source
Coal gangue target detection of belt conveyor based on YOLOv5s-SDE
Gong-kuang zidonghua, 2023 Traditional coal gangue image detection methods require manual extraction of image features. The methods have low accuracy and practicality. The existing coal gangue target detection methods based on improved YOLO have improved in speed and precision ...
ZHANG Lei +4 more
doaj +1 more source
, 2023 Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Xinyu Liu (34266) +7 more
core +1 more source
, 2023 Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Xinyu Liu (34266) +7 more
core +1 more source
, 2023 Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Xinyu Liu (34266) +7 more
core +1 more source
Comparison of YOLOv5s and MC-YOLOv5s in the test set visuals.
, 2023 Comparison of YOLOv5s and MC-YOLOv5s in the test set visuals.
Xinyu Liu (34266) +7 more
core +1 more source
Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm
智慧农业, 2022 Mechanized and intelligent flower thinning is a high-speed flower thinning method nowadays. The classification and detection of flowers and flower buds are the basic requirements to ensure the normal operation of the flower thinning machine.
XIA Ye +7 more
doaj +1 more source
YOLOv5s-Fog: An Improved Model Based on YOLOv5s for Object Detection in Foggy Weather Scenarios
, 2023 In foggy weather scenarios, the scattering and absorption of light by water droplets and particulate matter cause object features in images to become blurred or lost, presenting a significant challenge for target detection in autonomous driving vehicles.
Xianglin Meng +3 more
core +1 more source
Coal mine external fire detection method based on edge intelligence
Gong-kuang zidonghua, 2022 The detection of external fire in coal mines and the reliable identification of initial fire are of great significance for improving the level of coal mine fire detection.
ZHAO Duan +4 more
doaj +1 more source
Intelligent identification and positioning of steel belt anchor hole in coal mine roadway support
Gong-kuang zidonghua, 2022 When the steel belt auxiliary bolt is used in the coal mine underground heading roadway, if the positioning of the steel belt anchor hole is not accurate, the drill bit is easy to cause equipment damage when hitting the steel belt or anchor net.
ZHANG Fujing +4 more
doaj +1 more source