Train for 20K iterations with original parameters in train_msc.py with about 10K VOC training set and val the model.ckpt-8000 for 1449 val images but got the high accuracy:0.843?
The training loss is around 1.5 and it seems very high. Is it rational?
step 100
step 200
step 300
step 400
step 500
step 600
step 700
step 800
step 900
step 1000
step 1100
step 1200
step 1300
step 1400
Mean IoU: 0.843
Did you initialise from the downloaded model?
If so, the released model by DeepLab was pre-trained on trainval, which explains high accuracy on validation.
Train for 20K iterations with original parameters in train_msc.py with about 10K VOC training set and val the model.ckpt-8000 for 1449 val images but got the high accuracy:0.843? The training loss is around 1.5 and it seems very high. Is it rational? step 100 step 200 step 300 step 400 step 500 step 600 step 700 step 800 step 900 step 1000 step 1100 step 1200 step 1300 step 1400 Mean IoU: 0.843