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enter image description here

how to convert a single COCO JSON annotation file into a YOLO darknet format?? like below each individual image has separate filename.txt file enter image description here

ShivAA
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4 Answers4

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I built a tool https://github.com/tw-yshuang/coco2yolo

Download this repo and use the following command:

python3 coco2yolo.py [OPTIONS]

coc2yolo

Usage: coco2yolo.py [OPTIONS] [CAT_INFOS]...

Options:
  -ann-path, --annotations-path TEXT
                                  JSON file. Path for label.  [required]
  -img-dir, --image-download-dir TEXT
                                  The directory of the image data place.
  -task-dir, --task-categories-dir TEXT
                                  Build a directory that follows the task-required categories.
  -cat-t, --category-type TEXT    Category input type. (interactive | file)  [default: interactive]
  -set, --set-computing-type TEXT
                                  Set Computing for the data. (union | intersection)  [default: union]
  --help                          Show this message and exit.
ys_huang
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My classmates and I have created a python package called PyLabel to help others with this task and other labelling tasks.

Our package does this conversion! You can see an example in this notebook https://github.com/pylabel-project/samples/blob/main/coco2yolov5.ipynb.

You're answer should be in there! But you should be able to do this conversion by doing something like:

!pip install pylabel
from pylabel import importer
dataset = importer.ImportCoco(path=path_to_annotations, path_to_images=path_to_images)
dataset.export.ExportToYoloV5(dataset)

You can find the source code that is used behind the scenes here https://github.com/pylabel-project/

Derek Topper
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  • No it's not working, it converting it to YAML, not a txt file ! – MEH Mar 01 '22 at 06:30
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    @Derek `dataset.export.ExportToYoloV5(dataset)`: shouldn't the argument of `ExportToYoloV5()` method be something line `ExportToYoloV5(output_path='./yolo')` ? – Tangent Jul 09 '22 at 11:21
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There is an open-source tool called makesense.ai for annotating your images. You can download YOLO txt format once you annotate your images. But you won't be able to download the annotated images.

sush_ patankar
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  • This does not address the question. The question is how to convert an existing JSON formatted dataset to YAML format, not how to export a dataset into YAML format. – Georgi Georgiev Jul 21 '23 at 15:54
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There is three ways.

  1. use roboflow https://roboflow.com/formats (You can find another solution also) enter image description here

You can find some usage guide for roboflow. e.g. https://medium.com/red-buffer/roboflow-d4e8c4b52515

  1. search 'convert coco format to yolo format' -> you will find some open-source codes to convert annotations to yolo format.

  2. write your own code to convert coco format to yolo format

Yashar Azadvatan
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