Tune YOLO v3 architecture for object detection
$30-250 USD
Pagato alla consegna
As part of a larger system we need to detect and count small objects in close proximity using machine vision. We are having partial success using the YOLO v3 deep learning framework but need help to configure the architecture and tune the parameters to improve performance. We have datasets, test images, etc, and can provide all that to you. We're using Python and OpenCV. You need to be familiar with YOLO and able to advise us to adjust things like anchor boxes, grid size, etc, and understand its impact on detection performance.
Rif. progetto: #17903258
Info sul progetto
Assegnato a:
Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin Altro
6 freelance hanno fatto un'offerta media di $182 per questo lavoro
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