Data Set For NXP AIM
In NXP AIM 2024, we will be working on following traffic signs:
Go Straight Traffic Sign
Turn Left Traffic Sign
Turn Right Traffic Sign
Stop Traffic sign
Teams have to divide the dataset into train/validation/test sub-sets on their own.
Traffic Sign Designs
Teams can add more images to the data set as per their needs by refering to images of finalised traffic sign design in below file
Unlabbled data set
The below file conatins all the images that can be used in training of ypur model are present here.
Labbled/bounded data set
The below file conatins all the images along with information about their labels and clases that can be used in training of ypur model are present here.
Teams need to devide the images into train,val and test categories themselves and then create suiatble folders and edit this yaml file
Labbled/bounded data set (Advance: multi class images)
The below links contain file containing images with multiple signs classes in a single image along with information about their labels and clases that can be used in training of ypur model are present here.
Labbled data set for Pytorch - Pytorch_Dataset_Multi_Class_Images.
Labbled data set for OBB (Tensorflow) - OBB_Dataset_Multi_Class_Images.
Teams need to devide the images into train,val and test categories themselves and then create suiatble folders and edit this yaml file
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