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train my own dataset, the format of label #82
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I guess you are running out of images for training. It looks like you have 623 images, and this NaN problem start right after epoch 623. |
Hello! How you change the your datasets to the net work needed?I having been puzzled this questions for a long time and did not find any way to work it out.
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Hi @sunyuxiu |
@edwardnguyen1705 Yes,it is maybe need the picture and the list name of picture,the bounding boxes of yolo format also needed.Which step do you on?Training or testing? |
@sunyuxiu I already prepared anything. But my image size is 320x320 (actual size 1600x600, but I cropped patches 320x320, and transform the box coordinates to 320x320). I trained yolov5 on this dataset, there is no problem. |
@edwardnguyen1705 yolov5 can support the hug size of image?My image size is hug with 8000x6000 and the object is so small with around 10x30.With a lot of days of searching for the properly net work and find this net can support the hug size.But recently I meet a new error with this net work when testing.#101 you look and help me? |
@edwardnguyen1705 Now I am trying training the image under the format of tensorflow and building the docker.Do you have an good idea about the training the hug size of image as I mentioned above?yolo v5 or this net? |
@sunyuxiu , |
hello,@avanetten
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I want to train my own dataset, but I don't want to download the COWC dataset because of big size. I wonder what's the format of labels when executing the yolt2 model.
my dataset format is like this:
images/0.jpg
images/0.txt (the label in txtfile is :cls_id, x, y, w, h )
when I execute the yolt2 model, it looks normal, while the accuracy, precision and recall is NAN. So I want to know what's the label format in the txtfile.
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