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Thank you for this amazing work, I have been exploring this for about a week and I get more impressed the more I look into it
For my task, the detection of the object is an extremely easy task, they all look somewhat similar so making a correct box is easy for the model but to differentiate them into 23 classes is much harder
How would you advice, to look into such a task, what parts of the pipeline or model should I be looking to modify/experiment with to potentially get better performance in classification
Kind Regards
The text was updated successfully, but these errors were encountered:
Hi @ShihuaHuang95
Thank you for this amazing work, I have been exploring this for about a week and I get more impressed the more I look into it
For my task, the detection of the object is an extremely easy task, they all look somewhat similar so making a correct box is easy for the model but to differentiate them into 23 classes is much harder
How would you advice, to look into such a task, what parts of the pipeline or model should I be looking to modify/experiment with to potentially get better performance in classification
Kind Regards
The text was updated successfully, but these errors were encountered: