Object-detection-tensorflow.js

Object Detection using TensorFlow.js with Coco SSD Model

Introduction

This project aims to perform object detection on an image using TensorFlow.js and the Coco Single Shot MultiBox Detector (SSD) model. The model is pre-trained on the Common Objects in Context (COCO) dataset and can detect 80 different objects.

Technical Details

The project uses TensorFlow.js, an open-source library for machine learning in JavaScript, to perform object detection. The Coco SSD model is loaded using the TensorFlow.js API and is used to make predictions on an image.

Implementation

The project consists of the following steps:

1. Load the Coco SSD model using the TensorFlow.js API
2. Read an image and pre-process it for prediction
3. Use the model to make predictions on the image
4. Post-process the predictions and display the results on the image

Conclusion

This project demonstrates the use of TensorFlow.js for object detection tasks and the power of pre-trained models like the Coco SSD. This can serve as a starting point for more advanced projects and further experimentation with different models and techniques.