canvas Computer Vision Project
Updated a year ago
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downloadsTitle: Identifying Canvas in Video Frame by Frame with Object Detection
Project Overview: The "Identifying Canvas in Video Frame by Frame with Object Detection" project aims to develop an automated system that can accurately identify the presence of canvas art within video frames using object detection techniques. The goal is to facilitate user engagement.
Descriptions of Each Class Type:
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Canvas: This class encompasses on canvas surfaces. The object detection model will be trained to recognize the distinct visual features of canvas art to accurately detect and classify them in video frames.
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Non-Canvas Elements: This class includes any visual elements in the video frames that are not canvas art, such as backgrounds, unrelated objects, or text overlays. Properly identifying these elements will enhance the accuracy of the model in distinguishing canvas art from other visual content.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
canvas_dataset,
title = { canvas Dataset },
type = { Open Source Dataset },
author = { DCI },
howpublished = { \url{ https://universe.roboflow.com/dci-ardic/canvas } },
url = { https://universe.roboflow.com/dci-ardic/canvas },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-10-21 },
}