Negative loss

What might I be doing wrong?

Train on 6 samples, validate on 2 samples
Epoch 1/10
6/6 [==============================] - 11s 2s/step - loss: 23.4232 - iou_score: 0.8338 - val_loss: 270.5751 - val_iou_score: 0.2407
Epoch 2/10
6/6 [==============================] - 0s 52ms/step - loss: -10.5406 - iou_score: 1.1558 - val_loss: 15.3342 - val_iou_score: 1.3462
Epoch 3/10
6/6 [==============================] - 0s 51ms/step - loss: -41.8985 - iou_score: 1.6151 - val_loss: -61.7260 - val_iou_score: 2.2258
Epoch 4/10
6/6 [==============================] - 0s 54ms/step - loss: -75.2752 - iou_score: 2.2215 - val_loss: -55.5733 - val_iou_score: 2.1647
Epoch 5/10
6/6 [==============================] - 0s 53ms/step - loss: -106.0778 - iou_score: 3.0294 - val_loss: -94.5141 - val_iou_score: 3.3411
Epoch 6/10
6/6 [==============================] - 0s 52ms/step - loss: -144.1045 - iou_score: 3.9788 - val_loss: -78.0447 - val_iou_score: 2.5654
Epoch 7/10
6/6 [==============================] - 0s 51ms/step - loss: -172.3163 - iou_score: 4.8828 - val_loss: -97.2337 - val_iou_score: 2.8799
Epoch 8/10
6/6 [==============================] - 0s 52ms/step - loss: -194.8336 - iou_score: 6.2343 - val_loss: -152.3081 - val_iou_score: 4.4320
Epoch 9/10
6/6 [==============================] - 0s 51ms/step - loss: -212.0709 - iou_score: 7.1287 - val_loss: -206.3270 - val_iou_score: 5.0225
Epoch 10/10
6/6 [==============================] - 0s 54ms/step - loss: -227.2620 - iou_score: 7.6453 - val_loss: -256.2039 - val_iou_score: 5.6111

Segmentation for a single class.

Dataset: X:

Y:

Code: unet_train.txt

[qubvel]

Usually, output of the network is activated with softmax/sigmoid function, so it is in range 0…1. That is why your target should be in the same range, however it depends on loss function (mask normalisation can be done there).

[qubvel]

Hi @fuzzyBatman
make sure your masks are binary images {0, 1} (not {0, 255}).