Conversion to COCO format
Hi there,
I am working on a similar project and was wondering if you guys plan to provide the dataset in COCO format? Alternatively, would you mind sharing a bit more granular details as the file contents to assist in me converting the dataset myself?
This is a snapshot for a single image with the decompressed files, if you can provide with a short description of each and how to potentially link them, I would greatly appreciate the support.
Hey @kreouzisv ,
we don't have the data in COCO format, but there is a conversion script in the accompanying repo that should include pretty much all the data you need to convert things into the format needed for object detection: https://github.com/js0nwu/webui/blob/main/scripts/screenrecognition/generate_dataset_web.py
I've already run that script on the entire dataset and saved the results here: https://drive.google.com/file/d/1FBbMaDmwipEXsKBODCaqrAn9X58Lwz83/view you should be able to select only the folders that are in the split that you want. There are also many other links to models and pre-processed data in this script here: https://github.com/js0nwu/webui/blob/main/downloads/downloader.py
Hope that is helpful and sorry I haven't had time to clean up the scripts and document them. But let me know if you have any other questions.
Hey @kreouzisv
We've just uploaded a version of the dataset that has been converted to HF's parquet format with the pre-computed element locations and labels. https://huggingface.co/datasets/biglab/webui-7k-elements
Cool! Glad you got it figured out.