pensionlabel Computer Vision Project

stanford

Updated 2 years ago

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Classes (39)
administrative_expenses
assumption_changes
benefit_pay_incref
c_discount
changes_in_benefit_terms
covered_employee_payroll
discount_rate
dummy_label
employer_contribs
expected_rate_of_return
expected_vs_actual_experience
f n
fnp_boy
fnp_eoy
interest_cost
m_discount
member_contributions
net_change_in_fnp
net_change_in_tpl
net_changes_to_npl
net_inv_inc
nonemp_contributions
npl_+_1%
npl_-_1%
npl_boy
npl_cur
npl_eoy
other_impr
p_discount
plan_name
refunds
service_cost
title
tpl_boy
tpl_eoy
transfers_among_employers
unit
varitem
year
Description

Here are a few use cases for this project:

Use Case 1: Pension Fund Analysis The "pensionlabel" model can be used by financial analysts and consultants to quickly identify and extract key pension-related data from documents when conducting pension fund analysis, investment strategies or actuarial assessments.

Use Case 2: Auditing and Compliance The model can be leveraged by auditors when reviewing the financial statements and documents of pension funds to ensure accuracy, identify discrepancies, and deliver comprehensive audit reports.

Use Case 3: Data Entry and Management Companies working with pension documents can utilize the "pensionlabel" model to automate the process of data extraction and entry, making it faster and more accurate to update their databases with relevant pension information.

Use Case 4: Reporting and Visualization The extracted data can be utilized for creating responsive visualizations and generating insights about pension funds, including trends in employee and employer contributions, pension liabilities, and fund performance.

Use Case 5: Business Intelligence and Decision Making Executives and pension fund managers can harness the power of "pensionlabel" to provide valuable insights that help inform strategic decision-making, such as optimizing pension fund allocation or adjusting pension fund assumptions based on current trends.

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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{
                            pensionlabel_dataset,
                            title = { pensionlabel Dataset },
                            type = { Open Source Dataset },
                            author = { stanford },
                            howpublished = { \url{ https://universe.roboflow.com/stanford/pensionlabel } },
                            url = { https://universe.roboflow.com/stanford/pensionlabel },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-11-05 },
                            }
                        
                    

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