This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
The rapid expansion of the drone industry has resulted in a substantial increase in the number of low-altitude drones, giving rise to concerns regarding collision avoidance and countermeasure ...
Background: Flat foot deformity is a prevalent and challenging condition often leading to various clinical complications. Accurate identification of abnormal foot types is essential for appropriate ...
Hello, I'm Vladimir Mikhelev, a Machine Learning Engineer specializing mainly in computer vision. Today, I present my review of the current object-detection frameworks and provide my personal ...
# wget -O weights/darknet53.conv.74.weights https://pjreddie.com/media/files/darknet53.conv.74 # wget -O weights/darknet19_448.conv.23.weights https://pjreddie.com ...
The stem-related phenotype of mature stage soybean is important in soybean material selection. How to improve on traditional manual methods and obtain the stem-related phenotype of soybean more ...
OfflineMOT is a package for multi objects tracking from bird's eye view stationary videos. The accuracy has priority over runtime in this package, therefore it is better suited for offline processing ...
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