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 moreWhat is Coco SSD model?
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 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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Read moreWhat is meant by object detection?
Object detection is a computer vision technique for locating instances of objects in images or videos . Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results.
Read moreHow does TensorFlow Lite work?
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