chart_220218 Computer Vision Project

이금강

Updated 3 years ago

59

views

1

download
Classes (3)
'
chart-box
d
Description

Here are a few use cases for this project:

  1. Financial Data Visualization: Utilize "chart_220218" to identify and extract relevant chart-boxes from financial reports, news articles, or online sources, enabling users to easily analyze historical stock market trends, compare companies' performances, or identify market patterns.

  2. Automated Report Generation: Incorporate "chart_220218" in document generation software where the model automatically identifies and extracts chart-box classes from various data sources, streamlining the process of creating presentations, research papers, or business reports with relevant visual aids.

  3. Educational Resources: Implement "chart_220218" in educational platforms and tools to facilitate better understanding of graph-based subjects such as statistics, economics, and finance, by helping students identify relevant chart-boxes and assisting teachers in rapidly curating study materials.

  4. Data-driven Journalism: Use "chart_220218" in data journalism software to detect and analyze charts, graphs, and data tables from public data sources, allowing journalists to identify trends, correlations and patterns in large datasets, and presenting them visually in engaging news stories.

  5. Trading Platform Enhancement: Integrate "chart_220218" into trading platforms to automatically scan and present relevant financial charts, helping traders make informed decisions by providing visual information on market trends, stock performances, and other essential indicators.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            chart_220218_dataset,
                            title = { chart_220218 Dataset },
                            type = { Open Source Dataset },
                            author = { 이금강 },
                            howpublished = { \url{ https://universe.roboflow.com/-4zevl/chart_220218 } },
                            url = { https://universe.roboflow.com/-4zevl/chart_220218 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-12-27 },
                            }