MCC New York Annual Training

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File: EFTA00053963_p926_i0.png dataset_9
Summary:

The image is a redacted sign-in sheet for a correctional training event at MCC New York on March 8, 2019. The majority of the form is blacked out, obscuring the names and signatures of attendees.

Content Type:
Image
Document Type:
image
Date:
2019-03-08
Model Used:
gemini-2.0-flash-001
Image Classification
Category:
document_scan
Subcategory:
form
Scene & Environment

Setting: indoor

Location Type: office

Identified Location: 26 Federal Plaza, 6th Floor, Classroom J

Time: morning

Atmosphere: formal

Document Extraction

Type: form

Date: March 8, 2019

Key Points:

  • Correctional Training
  • Annual Training
  • MCC New York

Full Transcription:

Friday, March 8, 2019 A.M.
Correctional Training, Annual: GNR-0150-BXX - 4 hours
26 Federal Plaza, 6th Floor, Classroom J
FY-2019 - MCC New York Annual Training
Department
Last Name
First Name LAN ID#
Signature
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1| Page
Text in Image
Friday, March 8, 2019 A.M.
Correctional Training, Annual: GNR-0150-BXX - 4 hours
26 Federal Plaza, 6th Floor, Classroom J
FY-2019 - MCC New York Annual Training
Department
Last Name
First Name
LAN ID#
Signature
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
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28.
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30.
1| Page

Significance: The document title and location are significant.

Full Description

The image is a scanned document, specifically a sign-in sheet for a correctional training event held on Friday, March 8, 2019, at 26 Federal Plaza, 6th Floor, Classroom J. The document is titled "FY-2019 - MCC New York Annual Training." The sheet has columns for Department, Last Name, First Name, LAN ID#, and Signature. Rows 1 through 26 are blacked out, while rows 27 through 30 are visible but blank. The document also includes the reference number GNR-0150-BXX. The bottom of the page indicates it is page 1. The overall quality of the scan is medium, with some slight blurring. The document appears to be a standard form used for attendance tracking.

Sensitivity: MODERATE

Categories: identity_exposure

The document contains personal information such as names and signatures, which could be sensitive.

Organizations
Raw Analysis