tensorflow / tensorflow/datasets
Different OpenImages version have different annotation for confidence
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Description
open_images_challenge2019 uses floats in a range of 0-1, see:
openimages_v4 uses integers from 0 to 10 instead:
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/object_detection/open_images.py#L219
I think it would be good to settle on one. Since v4 is artificially mapped to ints, I think float from 0-1 is preferable.
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Research direction
Compare the confidence annotation handling at tensorflow_datasets/object_detection/open_images_challenge2019.py lines 158-160 and tensorflow_datasets/object_detection/open_images.py line 219. Trace how each dataset exposes the value, then verify that both versions use the same confidence representation and that existing dataset checks remain consistent.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100