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Spencer Prather

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Aug 3, 2024, 4:50:54 PM8/3/24

to detempsthetad

Our team uses labelMe for annotating images. I received a batch of annotations that are in VOC format and need to open them in labelMe for review, but am having trouble convert them to the labelMe format.

I can get all the fields that the labelMe json file needs, except for "imageData", which looks like some kind of encoding of the image data. I've tried leaving it out, hoping that having the image path would be enough, but I get a imageData error.

If you run labelme from the terminal you can add the flag --nodata. By doing so you can see what value is put in for the key imageData; namely null. So substituting null for this key should work.

I want to create an object detection neural network, from some special item with special shape with limited relativly small image datasets.For this i used labelme I think polygonal labeling would perform better then normal boxing labeling because of the shape of the object.I want to use of one the pretrained model from coco Tensorflow detection models, but im struggling to create tfrecord file from json files.As you can see below it countain both polygon and circle shape_type. Thank for your help in advance. If you know how to convert it to tfrecord or some alternative labeling program that would work better for my problem pls let me know i will just relabel my imageses if its solve my problem. json file For example:

I plan to label more images and then train them on the model. I am still doing a proof of concept that I can train on my own hardware, and that the labelme-to-COCO dataset converter that I wrote works.