Step 1: Scraping

We've written a scraping script which takes 3 arguments:  Tag , Number of Images, and Directory to save the file from Node-RED.   Just pass the three arguments and press inject.  Your dataset will be scraped and saved.  Next, upload the scraped images as a dataset.

Step 2 : Train a Model

Here you can configure the node with the dataset name and model dataset name (to Upload), and hit Inject.

A standard  Object Classifier Model will be trained and uploaded.

Step 2 : Run Inference:

To Run Inference, Upload a Image First using the Upload Image Node and then Click on Inference.

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