Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detection algorithm we use.
Until now, the detection rate has been too low for it to be possible to use only analyzes from the algorithm.
This means that a third party must manually verify data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images,
it is expected that the detection rate can be improved with up to 95% accuracy,
which will drastically reduce resources spent on manually verifying the data.
BILDA
Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detecion algorithm we use.
Until now, the detection rate has been too low for it to be possible to use analyses from the algorithm exclusively.
This means that a third party must manually verify the data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images, it is expected that the detection rate can be improved by up to 95% accuracy, which will drastically reduce resources spent on manually verifying the data.