BRAINCheck · CT & AI LAB · ORIGINAL COMPANION WORKSHEET

Data में किसकी कमी है?

Identify missing representation in a dataset.

Name: ____________________ Class: ______ Date: __________

A dataset can be large but narrow. A recogniser trained mostly on bright daylight pictures may struggle in dim light. Look at which conditions are represented, not just the total number of examples. Do not collect faces or classmates’ personal information for this activity; paper object cards are sufficient.

A fictional leaf recogniser uses 1,000 photos, all from one tree in sunlight. A claim says the quantity proves it works for every leaf.

List conditions missing from the dataset: species, lighting, angles and damaged leaves.
Design a balanced paper test set across at least three conditions.
Explain one likely failure and the evidence needed to investigate it.
Rewrite the universal claim using an appropriate limitation.

Quick check

Which change most directly improves coverage?

○ Duplicate one existing photo many times

○ Add varied relevant conditions and labels

○ Increase the title font

○ Hide every failure

My correction / justified conclusion

Evidence and reference actually checked

My reasoning, uncertainty and reflection

Use fictional/non-personal examples. Public worksheet; save or submit work only through your own notebook. Suggested 60-minute activity. Not an official NCERT/CBSE assessment or certificate.