CIFAR-10H Disagreement Predictor
Upload an image and the model will predict a 10-way human annotator distribution
rather than a single hard class. The output approximates q(y|x), the predicted
distribution of labels that a pool of human annotators might assign.
Loaded checkpoint: /app/checkpoints/demo_model.pt
- loss:
kl - backbone_init:
cifar10_pretrained - head:
mlp - device:
cpu
Class probabilities