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 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 moreHow do I make a model of object detection?
In order to build our object detection system in a more structured way, we can follow the below steps:
Read moreHow do I make a custom TensorFlow Lite model?
Detailed Process
Read moreHow do you train a model in TensorFlow Lite?
This is when TensorFlow Lite comes in.
Read moreWhat can TensorFlow Lite detect?
The pre-trained models we provide are trained to detect 90 classes of objects . For a full list of classes, see the labels file in the model metadata. You can use a technique known as transfer learning to re-train a model to recognize classes not in the original set.18 May 2021
Read more