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?