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Project Overview:

The original goal was to use this model to monitor my rowing workouts and learn more about computer vision. To monitor the workouts, I needed the ability to identify the individual digits on the rowing machine. With the help of Roboflow's computer vision tools, such as assisted labeling, I was able to more quickly prepare, test, deploy and improve my YOLOv5 model.
Example Annotated Image from the Dataset

Inference on a Test Image using the rfWidget

Roboflow's Upload API, which is suitable for uploading images, video, and annotations, worked great with a custom app I developed to modify the predictions from the deployed model, and export them in a format that could be uploaded to my workspace on Roboflow.

What took me weeks to develop can now be done with the help of a single click utilize Roboflow Train, and the Upload API for Active Learning (dataset and model improvement).
Training Results - Roboflow FAST Model

Dataset Classes:

  • 1, 2, 3, 4, 5, 6, 7, 8, 9, 90 (class "90" is a stand-in for the digit, zero)

This dataset consits of 841 images. There are images from a different rowing machine and also from this repo. Some scenes are illuminated with sunlight. Others have been cropped to include only the LCD. Digits like 7, 8, and 9 are underrepresented.

For more information:

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ digits-coi4f_dataset,
    title = { Digits Dataset },
    type = { Open Source Dataset },
    author = { Phils Workspace },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { aug },
    note = { visited on 2022-10-02 },

Last Updated

2 months ago

Project Type

Object Detection




1, 2, 3, 4, 5, 6, 7, 8, 9, 90


CC BY 4.0