Bank Checks Dataset

## Overview

Bank Checks Dataset is a dataset for object detection tasks - it contains Bank Checks annotations for 2,384 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Commercial Checks Collected through the Federal Reserve, Commercial Checks Returned through the Federal Reserve, Government Checks Processed by the Federal Reserve, and Postal Money Orders Processed by the Federal Reserve

Blockchain data query: Basic Data Checks

This data table provides the detailed data quality assessment scores for the Single Digital View dataset. The quality assessment was carried out on the 31st of March. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct, at a minimum, bi-annual assessments of our data quality - for datasets that are refreshed more frequently than this, please note that the quality assessment may be based on an earlier version of the dataset. To learn more about our approach to how we assess data quality, visit Data Quality - SP Energy Networks.We welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available.DisclaimerThe data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at opendata@spenergynetworks.co.uk and a member of the team will be in contact.

City of Denton - Unclaimed AP Checks

This dataset contains the predicted prices of the asset CHECKS over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This document provides an overview and brief description of the folders, files, and syntax included in the CFSR round 3 zip file; considerations and steps for running the syntax; and software requirements.

Metadata-only record linking to the original dataset. Open original dataset below.

This data table provides the detailed data quality assessment scores for the Technical Limits dataset. The quality assessment was carried out on the 16th of September 2025. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct, at a minimum, bi-annual assessments of our data quality - for datasets that are refreshed more frequently than this, please note that the quality assessment may be based on an earlier version of the dataset. To learn more about our approach to how we assess data quality, visit Data Quality - SP Energy Networks.We welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available.DisclaimerThe data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at opendata@spenergynetworks.co.uk and a member of the team will be in contact.

This dataset contains all uncashed checks that have been issued by the Town of Cary.The dataset is updated the 9th of every month following a bank information update.

This dataset provides the detailed data quality assessment scores for the Voltage dataset. The quality assessment was carried out on the 31st March. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct, at a minimum, bi-annual assessments of our data quality - for datasets that are refreshed more frequently than this, please not that the quality assessment may be based on an earlier version of the dataset. To access our full suite of aggregated quality assessments and learn more about our approach to how we assess data quality, visit Data Quality - SP Energy NetworksWe welcome feedback and questions from our stakeholders regarding our approach to data quality. Our Open Data team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the dataset schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the datasets with the results when available.DisclaimerThe data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at opendata@spenergynetworks.co.uk and a member of the team will be in contact.

The TCVQ system determines the SSN of an individual whose check has been returned to a local field office. The FO is able to request this information via the TCVQ located on the DXQM. SSNs were removed from the SSA checks in early 2004.

Comprehensive dataset containing 95 verified Checks Cashed locations in United States with complete contact information, ratings, reviews, and location data.

Concept: Number of transactions using non-cash instruments. Checks and transfers includes interbank and intrabank operations. Source: Central Bank of Brazil – Department of Banking Operations and Payments System 0c6d5c28-26e6-4c80-9f40-ec6995838154 25225-number-of-paymens-with-checks

This dataset provides the number of Criminal Background Checks by outcome performed each month.

Check NBA Data

## Overview

Check NBA Data is a dataset for object detection tasks - it contains Check NBA Data annotations for 2,000 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

Data includes the total number of checks issued for all Registered Bodies for 2011, 2012 and 2013 to date. The information is also broken down to show the number of these checks which were for volunteers and the level of each check including checks made against the barred lists. Produced for an FOI request.

Welcome to the County of Sonoma Auditor-Controller's website for uncashed County checks.

If your check has been lost/destroyed or stale-dated, please fill out this form and follow the included instructions to obtain a replacement check:

Affidavit to Obtain Duplicate Of Lost/Destroyed Check.

Contained here is the inventory of all Sonoma County checks (excluding those checks that are considered private, such as welfare payments, child support, and employee benefits and payroll, which are exempt from disclosure under Welfare & Institutions Code §10850 and §11478.1 and Government Code §7927.700 and §7927.705) that have been issued and mailed, but which remain uncashed 6 months after their issue date ("stale" checks). Please note the County does not maintain a list of reissued checks, this listing could include checks that were subsequently reissued and cashed and are therefore no longer eligible for reissue.

In accordance with Government Code §29802, uncashed County checks are void and become stale after 6 months. Uncashed County checks that are lost or destroyed may be reissued up to 2 years from the stale date (2 years and 6 months from the date of issuance) when a valid Affidavit is filed certifying the loss or destruction, and after a review of records indicates the check was not previously reissued. An uncashed, stale County check that is more than 2 years and 6 months old may be reissued only upon receipt of the original check, and if a review of records indicates the check was not previously reissued.

This information is refreshed daily and contains 2.5 years of data. Checks are stale dated on a monthly basis, the most recent set of stale dated checks will be reflected in this listing by the 15th of the month.

ID Check

## Overview

ID Check is a dataset for object detection tasks - it contains Names annotations for 390 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Contained here is the inventory of all Sacramento County warrants (excluding those warrants that are considered private, such as welfare payments, child support, and employee payroll) that have been issued and mailed, but which remain uncashed six months after their issue date. Uncashed County warrants that are lost can be reissued up to two and a half years from the original issue date.Department of Finance - Auditor Controller - Unclaimed County Warrants (Checks) -- This data was last updated on Oct 15, 2025 at 09:40 AM.

Dates of completed IT Health Checks for the Food Standards Agency.