Digits Computer Vision Project
Updated 2 years ago
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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. 
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). 
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:
- A full tutorial for creating and deploying this model with YOLOv5: https://vision.philbrockman.com/
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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{ https://universe.roboflow.com/phils-workspace/digits-coi4f } },
url = { https://universe.roboflow.com/phils-workspace/digits-coi4f },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-12-18 },
}