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 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 moreWhich algorithm is best for object tracking?
The best real-time object detection algorithm (Accuracy) On the MS COCO dataset and based on the Mean Average Precision (MAP), the best real-time object detection algorithm in 2021 is YOLOR (MAP 56.1) .
Read moreHow many objects can TensorFlow detect?
The pre-trained models we provide are trained to detect 90 classes of objects.18 May 2021
Read moreHow does tracking work in an object?
Object tracking is an application of deep learning where the program takes an initial set of object detections and develops a unique identification for each of the initial detections and then tracks the detected objects as they move around frames in a video .
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