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I'm trying to train a model (faster_rcnn_R_50_FPN_1x.yaml) to detect 3 types of tomatos (green, red and rotten) but i get low accuracy. However if i train 3 models only each one for a type i get good accuracy. which cfg or things i should do to have a model with 3 classes and a good accuracy?
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I'm trying to train a model (faster_rcnn_R_50_FPN_1x.yaml) to detect 3 types of tomatos (green, red and rotten) but i get low accuracy. However if i train 3 models only each one for a type i get good accuracy. which cfg or things i should do to have a model with 3 classes and a good accuracy?
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