Nvidia Jetson
Nvidia Jetson
Nvidia Jetson modules and advanced cameras are a powerful combination when it comes to providing custom tailored machine vision software solutions.
Objektide tuvastamine
Meie ettevõte pakub lahendusi, mis on mõeldud objektide, tootmises olevate autode, t
Masinnägemine ohutuse tagamiseks
Masinnägemine on tehnoloogia, mis võimaldab masinatel näha ja tuvastada objekte reaalajas.
IOU and KLT tracking
Whats the difference between IOU and KLT tracking in machine vision?
IOU (Intersection Over Union) is an evaluation metric used to measure the accuracy of an object detection model
Machine Vision
At Visioline, we are proud to offer custom machine vision devices and solutions that are designed to meet the needs of a wide range
Loss while training SSD
In terms of the actual loss values, it’s difficult to say what is “normal” as they can vary widely depending on the factors mentioned above. However, some practitioners have reported achieving classification losses around 1.0-2.0 and regression losses around 0.1-0.2 for SSD MobileNet v1 on common object detection datasets like
SSD mAP
SSD mAP, or mean average precision, is a metric used to measure the accuracy of object detection algorithms. It is calculated by taking into account the true positive rate, false positive rate, and precision of an algorithm. The higher the mAP value, the better the algorithm’s performance.
Common mAP
SSD learning rate
Learning rate in training an SSD model is the step size used when updating the weights of the model during backpropagation. It determines