Using Smart Labeler for faster image labeling
So, now we have reached a point where we have built a model using our images of what a “good” or “bad” frozen lobster tail should look like. As we need to add more images to the model for training and accuracy improvement, we can use the Smart Labeler feature to quicken the process of tagging new images.
Getting started with the process is fairly straightforward now that we already have our model built and a sample set of images loaded. You will simply upload new images within the project using the previous steps, but don’t tag them as you upload them. The images will upload and be labeled as Untagged, with the option to Get suggested tags, as shown in the following figure:
Figure 10.11 – Smart Labeler dialog box displaying Tagged and Untagged image options
When we select the Get suggested tags option, we then get the option to choose how many images we want to tag...
