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Sample models to be used with Bottlenose for object detection, classification, masking, and labelling

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AI Demo for Bottlenose Cameras

Please see the setup instructions here.

No. Model Type Description
1 Tomato-tiny Detector A vegetable and fruit detector trained on the Yolov3-tiny model
2 Tomato-full Detector A vegetable and fruit detector trained on the full Yolov3 model
3 Yolov3-tiny Detector The generic Yolov3-tiny detector trained on the COCO datasets to recognize 80 classes
4 Yolov3 Detector The generic Yolov3 detector trained on the COCO datasets to recognize 80 classes
5 SSD-Mobilenetv2 Detector A generic SSD-Mobilenetv2 trained on the VOC datasets with 20 classes
6 ResNet50 Classifier ResNet50 classifier trained on Imagenet with 1000 classes
7 VRUS-tiny Detector A vulnerable road users (VRUs) detector trained on the Yolov3-tiny model
8 VRUS-full Detector A vulnerable road users (VRUs) detector trained on the full Yolov3 model

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Sample models to be used with Bottlenose for object detection, classification, masking, and labelling

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