Aligned with our global membership plan, we’re excited to tell the good news to our community that you have one more drop-by alternative when you land Berlin. Full Node is a convenient and cozy place…
4K dashcam videos versus State of The Art object detection deep nets such as YOLO, SSD or Mask RCNN.
I want to share my datasets I use for testing deep neural networks. I have already tested on 4k videos:
I was using SSD Keras by Andrey Rykov:
This was easiest/fastest [for me] to run and get results. But now I switched to Tensorflow Object Detection API. Special thanks to Harrison Kinsley for great tutorial on using TF object detection API. I recommend this for everyone who wants to start training SSD:
You can find results for models from TF model zoo:
Need 4k dashcam vids? Download and make awesome things!
Datasets were recorded with Samsung S7 in 4K resolution.
Here is one of the videos:
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