Default Model gives poor testing result.

[shivamkumarsingh114]

I am using the dataset specified by you with images in the format label_index.jpg. However, testing results are very poor.
Dataset being used is: https://node1.belval.org/test_dataset.zip. I stored it in data folder and extracted the images.

Command being executed: python3 run.py -ex ./data/ --test --restore -bs 32

Output:
Use standard file APIs to check for files with this prefix.
Loading data
Testing
beignet
iiiii
apocynaceous
iiiii
arshine
iiiii

Why is the output always "iiiiii"?

[Timthony]

I am using the dataset specified by you with images in the format label_index.jpg. However, testing results are very poor.
Dataset being used is: https://node1.belval.org/test_dataset.zip. I stored it in data folder and extracted the images.

Command being executed: python3 run.py -ex ./data/ --test --restore -bs 32

Output:
Use standard file APIs to check for files with this prefix.
Loading data
Testing
beignet
iiiii
apocynaceous
iiiii
arshine
iiiii

Why is the output always "iiiiii"?

I have the same problem. Have you solved it?

[Timthony]

I have the same problem. Have you solved it?

[shivamkumarsingh114]

I trained the model from scratch. Seems to be working but still not as satisfactory as CRNN should be. I am thinking of rewriting the library from scratch.

[Belval]

Indeed there seems to be a problem somewhere as I cannot train the model or get suitable predictions anymore. I'll investigate but since the code is in TF 1 I might just rewrite it in eager mode.

[shivamkumarsingh114]

Did you identify the problem?