SSD MobileNet v2 Open Images v4 @KarolMajek
SSD MobileNet v2 Open Images v4  @KarolMajek
Uploaded May 2019 | Updated September 2026, 2 weeks ago
Here you will find the model:
github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#open-images-trained-models
it is thresholded at 30% and there's nothing you can do to decrease it I guess.

a working link to original input 4k video: archive.org/details/0002201705192

Of course you can retrain, but who wants to waste so much power and pollute the environment?
What is the carbon footprint for Deep Learning?

Thanks for the coffee if I helped you somehow:
bit.ly/Coffee4Karol

And the Patreon account:
patreon.com/karolmajek
Is it a good idea to have Patreon?!
SSD MobileNet v2 Open Images v4Detectron2: Mask RCNN R50 FPN 3xYOLO Object Detection at Night - YOLOv3-spp COCOEdgeTPU object detection - SSD MobileNet V2OpenCV YOLO Object Detection by Adrian Rosebrock (pyImageSearch)YOLOv3 Open Images v4YOLOv3 608x608 inputSSD Mobilenet v2 COCO TensorRT Jetson NanoYOLACT Resnet50 550px: YOLO Instance SegmentationTensorRT YOLOv4x Mish 640 - RTX2070 laptopCascade RCNN R50 Caffe C4 1xYOLOv7 e6 1280px
Karol Majek |

SSD MobileNet v2 Open Images v4

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