Thanks for your great work! It's a simple yet effective few-shot object detection method!
I have a simple question when I'm building the project dataset:
coco dataset has three sub-directories, respectively called trainval2014, val2014, and annotations. Does the sub-directory trainval2014 mean that this sub-directory contains all training and evaluating images in it? If so, this sub-directory (trainval2014) is used for training, which means the model can see evaluating images information during training. Is this OK?
Hope for your reply sincerely!
Hi, the images used in the training and testing phases are different, and we define the data split in the METASPLIT. You can see the details in this script (from L12 \~ L16).
Thanks!
Thanks for your great work! It's a simple yet effective few-shot object detection method! I have a simple question when I'm building the project dataset: coco dataset has three sub-directories, respectively called trainval2014, val2014, and annotations. Does the sub-directory trainval2014 mean that this sub-directory contains all training and evaluating images in it? If so, this sub-directory (trainval2014) is used for training, which means the model can see evaluating images information during training. Is this OK? Hope for your reply sincerely!