Data Labeling
Tagging data (like photos or text) with labels so an AI model can learn from it.
Help me explain to...
K–5th
Data labeling is like putting name tags on things, like calling a picture of a dog “dog” so the computer knows what it is. It helps AI learn by giving it clues.
6–8th
When we label data, we’re telling the AI what it’s looking at, like marking an email as “spam” or tagging a photo with “tree.” It uses these labels to learn how to spot patterns.
9–12th
Data labeling is the process of annotating raw data with categories or descriptions so AI can learn from it. High-quality labels are critical for training accurate models in tasks like classification, sentiment analysis, or object recognition.
Expeditions
K–5th
Give students a set of pictures and have them group and label them. Then explain: “This is what we do for computers when we want them to learn.”
6–8th
Let students create their own mini-datasets by labeling sets of sample text or images. Then talk about how AI uses these to “practice.”
9–12th
Assign a mini project where students label a dataset (like class survey responses or image categories). Then analyze how quality and consistency affect AI accuracy.
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