It forms the basis of many other downstream computer vision tasks, for example, instance segmentation, image captioning, object tracking, and more. Specific object detection applications include pedestrian detection, people counting, face detection, text detection, pose detection, or number-plate recognition.
Read moreWhat is object detection app?
It forms the basis of many other downstream computer vision tasks, for example, instance segmentation, image captioning, object tracking, and more. Specific object detection applications include pedestrian detection, people counting, face detection, text detection, pose detection, or number-plate recognition.
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 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 the use of TFLite?
The TFLite Task Library makes it easy to integrate mobile-optimized machine learning models into a mobile app . It supports many popular machine learning use cases, including object detection, image classification, and text classification. You can load the TFLite model and run it with just a few lines of code.
Read moreDoes flutter support TensorFlow?
A Flutter plugin for accessing TensorFlow Lite . Supports both iOS and Android.
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