Configuring Pipeline for MSCoco

I have been training a model using MS Coco 2017 dataset.

The Coco dataset is divided between train, test and validation. The key difference is the test dataset does not have bounding box annotations.

I didn’t realise this and I set the eval_input _reader to point at the Coco test dataset .tfrecord files.

Is this incorrect? Should I instead point it towards the validation dataset which has the bounding-box annotations? It’s strange because my model is still working. Though not very well.

Very confused by it all. Why doesn’t the cocodataset label the test images?

submitted by /u/manduala
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