RetinaNet with custom backbone and custom dataset about tf-keras HOT 3 CLOSED

@adityaroy10,
RetinaNet, a popular single-stage detector, which is accurate and runs fast. RetinaNet uses a feature pyramid network to efficiently detect objects at multiple scales and introduces a new loss, the Focal loss function, to alleviate the problem of the extreme foreground-background class imbalance. Also there is COCO2017 dataset which has around 118k images for the training and testing.

https://keras.io/examples/vision/retinanet/
Also there is the data structure of the coco-dataset for the own custom data using TFDS.
https://www.tensorflow.org/datasets/add_dataset#version

Looks like this issue is not related to tf-keras. Could you please try to file an issue on tensorflow forum for such type of issues. Thank you!

from tf-keras.

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

from tf-keras.

This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.

from tf-keras.