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.