🐞

Model Debugging

🙄 Problems that we can face while training custom object detection
1.Model is not doing well on test set
2.Model is doing well on test set but doing bad on real world images
In case that model is not doing well on test set you can try one or more from the followings:
Add dropout to .config file
box_predictor {
    ....
    use_dropout: true
    dropout_keep_probability: 0.8
    ....
}
Replace fixed_shape_resizer with keep_aspect_ratio_resizer, example:
🖼 Before
➰ After
image_resizer {
    fixed_shape_resizer {
    height: 640
    width: 640
  }
}
keep_aspect_ratio_resizer {
    min_dimension: 640
    max_dimension: 640
    pad_to_max_dimension: true
}
👮‍♀️ You have to choose these values due to your model

TensorFlow Object Detection API

Sequence Models In Deep Learning

Last modified 2yr ago