This model detects objects defined in the COCO dataset, which is a large-scale object detection, segmentation, and captioning dataset . You can find more information here. The model is capable of detecting 80 classes of objects. (SSD stands for Single Shot MultiBox Detection).
Read moreCan Yolo run on mobile?
android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is compatible with Android Studio and usable out of the box .
Read moreCan Yolo run on mobile?
android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is compatible with Android Studio and usable out of the box .
Read moreWhat is mobilenet object detection?
MobilenetSSD is an object detection model that computes the bounding box and category of an object from an input image . This Single Shot Detector (SSD) object detection model uses Mobilenet as backbone and can achieve fast object detection optimized for mobile devices.
Read moreWhat is object detection and how it works?
Object detection is a computer vision technique that works to identify and locate objects within an image or video . Specifically, object detection draws bounding boxes around these detected objects, which allow us to locate where said objects are in (or how they move through) a given scene.
Read moreHow object is detected in image processing?
Object detection is a computer vision technique that allows us to identify and locate objects in an image or video . With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them.
Read moreHow do you detect object detection?
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