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This is not related to usage maskrcnn from your repo.
I am using matterport implementation of maskrcnn and train my custom data. While detection the scores for each instance in images is always greater than 0.9 even when the detection is incorrect. Say the instance is ball and is being detected as knife but the detection score is 0.97. Can you help me with the pausible reasons or where should i look into.
I have tried looking into the model.py and util and config.
The text was updated successfully, but these errors were encountered:
Hi Soumya,
This is not related to usage maskrcnn from your repo.
I am using matterport implementation of maskrcnn and train my custom data. While detection the scores for each instance in images is always greater than 0.9 even when the detection is incorrect. Say the instance is ball and is being detected as knife but the detection score is 0.97. Can you help me with the pausible reasons or where should i look into.
I have tried looking into the model.py and util and config.
The text was updated successfully, but these errors were encountered: