Export Formats

Details on the format here: https://towardsdatascience.com/coco-data-format-for-object-detection-a4c5eaf518c5#:~:text=Pascal%20Visual%20Object%20Classes(VOC)&text=Pascal%20VOC%20is%20an%20XML,for%20training%2C%20testing%20and%20validation .

Hub is an open source dataset storage format making it easy to train a ML model. As written on their GitHub's page : > Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. In short, for large datasets you do not need to download your complete dataset to start training a model on it. You can stream its data to your ML Pipeline. For more details: https://www.activeloop.ai/

What format do you need? Upvote the other export formats if one of them matches your needs, else specify the format in the comment.

One row per image in the dataset. Columns: Image Name Dataset Name Image URL List of classes Please specify in the comments what columns you'd like to have in your CSV