Effect of Training Images Missing Labels

#missinglabels #objectdetection #deeplearning #labelnoise That's an hard question. but I guess there is possible 3 scenarios. You might see these scenario by playing with this: https://playground.tensorflow.org but keep in mind that problem still very basic. Object detection is not. The learning process has some strategies to avoid noise, but the more noise you add, the more difficult it is. I've seen some model converging with high noise, but the conf given was between 0.1-0.01%. few missing labels, few mAP reduction because validation also has missing labels. Model will still predi..........

원문링크 : Effect of Training Images Missing Labels