DHT11
Last updated
Last updated
Task: Visual Anomaly Detection
License: Apache 2.0
This dataset has been collected by Edge Impulse teams and contains a single DHT11 sensor, centered in the frame, with a similar size and a uniform background.
The training dataset only contains "nominal" (no anomaly) images whereas the testing dataset contains both nominal and anomalous images.
The DHT11 have been used to teach IoT classes in the past and have been manipulated by students extensively. When not wiring the pins properly, it can cause an overheat which often lead to the plastic melting. Some other anomalous images are missing wiring pins.
Feature extraction: Image
Learning block: Visual Anomaly Detection (FOMO-AD)
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Total Data Items: 195
Labeling Method: single label
Train/Test Split: 69.74% / 30.26%
Training Set
Testing Set
Total Data Items
136
59
Labels
no anomaly
anomaly, no anomaly
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