How Reliable Is Automatic Emotion Classification in Children’s Drawings? A Reproducible Benchmark on a Public Corpus with Calibration and Selective Prediction
Emotion recognition in children’s drawings is difficult because affect is carried by sparse strokes, symbolic objects, and overall composition rather than by the stable appearance statistics of photographs. We built a reproducible four-class benchmark (Angry, Fear, Happy, Sad) on a single public corpus of 818 children’...