Classifying entire camera frames into scene categories such as indoor vs outdoor, day vs night, crowded vs empty, or room type without detecting individual objects. Used for context-aware IoT devices that adapt behavior based on their environment — adjusting lighting, HVAC, or security modes automatically. Lower compute than object detection since the model outputs a single class label per frame with no localization required.
| Minimum RAM | 128 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | camera |
| Typical Model Size | 100 KB (quantized int8) |
| Minimum Clock | 80 MHz |
No hardware guides for scene classification yet. Use the MCU Checker to find compatible hardware.
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