Automatation of Species Verification

Closed Solicitation Posted

This opportunity was awarded. See the award notice from .

Solicitation number
1305M220QNFFM02770
Agency
Responses due
Set-aside
Total Small Business

Opportunity facts

Place of performance
USA

Notice details come from SAM.gov. Updated .

Notice text

3 versions

Update #3 · Latest ·

8/10/2020 - amendment 0002 issued and due date for quotes changes.  See Amendment 0002 for explanation

7/29/2020 - Amendment 0001 issued and due date for quotes changed. 

THIS IS A COMBINED SYNOPSIS/SOLICITATION FOR COMMERCIAL ITEMS PREPARED IN ACCORDANCE WITH THE FORMAT IN FAR SUBPART 12.6, AS SUPPLEMENTED WITH ADDITIONAL INFORMATION INCLUDED IN THIS NOTICE. THIS ANNOUNCEMENT CONSTITUTES THE ONLY SOLICITATION; QUOTES ARE BEING REQUESTED AND A WRITTEN SOLICITATION WILL NOT BE ISSUED. This synopsis/solicitation 1305M220QNFFM02770 constitutes a Request for Quotation (RFQ) and incorporates provisions and clauses in effect through Federal Acquisition Circular 2020-08.

                                                                                                                           

The National Oceanic Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center (NEFSC), Woods Hole, MA has a requirement to develop software solutions that closely align the image review process currently underway as part of the Species Verification Program (SVP) with machine learning/deep neural network based analysis. Specifically, to develop software with detailed documentation that applies machine learning (ML) algorithms to identify 45 common fish species and incorporate continuous learning to improve models as new images and verification data become available. The goal of this work is to produce software that can maintain or improve accuracy and increase efficiency of the SVP data processing, and be shared with others working to identify similar species.  The period of performance will be twelve months.  

 CLIN:  0001

Description:  Contractor to Develop Software Solutions that Closely Align the Image Review Process Currently Underway as Part of the Species Verification Program (SVP) with Machine Learning/Deep Neural Network Based Analysis in Accordance with the Attached Statement of Work. 

Quantity: 1

Unit:  JB

Unit Price:  $_________

Total Price:  $ __________

The Government will award a Firm Fixed Price contract resulting from this solicitation to the responsible offeror whose offer conforming to the solicitation will be most advantageous to the Government, price and other factors considered.  The following factors shall be used to evaluate offers (1) Technical, (2) Past Performance, and (3) Price.

This RFQ is 100% set aside for small businesses. The associated NAICS code is 541511, Custom Computer Programming Services, with a Size Standard of $30M.

Additionally, each offeror must provide the following information with the quote:

  1. The Request for Quote (RFQ) number – 1305M220QNFFM02770
  2. The Name, Address, Telephone Number, and DUNS Number of the Offeror;
  3. Include a statement specifying the extent of agreement with all terms, conditions, and provisions included in the RFQ. Quotes that reject the terms and conditions of the RFQ may be excluded from consideration;
  4. Address technical capability in meeting the requirement per the Statement of Work.  This may include product literature, or other documents if necessary. 
  5. Submit no more than three past performance references similar in size and scope and completed or in progress within the last three years for meeting this requirement.   
  6. Acknowledgment of Solicitation Amendments (SF-30), if any.
     

All questions must be submitted in writing to Wendy.Culbreth@noaa.gov by11:00 A.M. Eastern Daylight Time (EDT) on July 24, 2020. Telephone inquiries will not be honored. 

All responsible sources may submit a quotation which shall be considered by the agency.

Quotes must be submitted by 4:00 P.M. Eastern on August 14, 2020 via e-mail to Wendy.Culbreth@noaa.gov.  Any award resulting from this RFQ will be made based on most advantageous to the Government, price and other factors considered. 

The anticipated award date is on or about August 25, 2020.

Quoters must be registered in the SAM database to be considered for award. Registration is free and can be completed on-line at http://www.sam.gov/.

The Government does not accept responsibility for non-receipt of quotes. It is the Contractor’s responsibility to request and receive a confirmation of the quote receipt.

Update #2 ·

7/29/2020 - Amendment 0001 issued and due date for quotes changed. 

THIS IS A COMBINED SYNOPSIS/SOLICITATION FOR COMMERCIAL ITEMS PREPARED IN ACCORDANCE WITH THE FORMAT IN FAR SUBPART 12.6, AS SUPPLEMENTED WITH ADDITIONAL INFORMATION INCLUDED IN THIS NOTICE. THIS ANNOUNCEMENT CONSTITUTES THE ONLY SOLICITATION; QUOTES ARE BEING REQUESTED AND A WRITTEN SOLICITATION WILL NOT BE ISSUED. This synopsis/solicitation 1305M220QNFFM02770 constitutes a Request for Quotation (RFQ) and incorporates provisions and clauses in effect through Federal Acquisition Circular 2020-08.

                                                                                                                           

The National Oceanic Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center (NEFSC), Woods Hole, MA has a requirement to develop software solutions that closely align the image review process currently underway as part of the Species Verification Program (SVP) with machine learning/deep neural network based analysis. Specifically, to develop software with detailed documentation that applies machine learning (ML) algorithms to identify 45 common fish species and incorporate continuous learning to improve models as new images and verification data become available. The goal of this work is to produce software that can maintain or improve accuracy and increase efficiency of the SVP data processing, and be shared with others working to identify similar species.  The period of performance will be twelve months.  

 CLIN:  0001

Description:  Contractor to Develop Software Solutions that Closely Align the Image Review Process Currently Underway as Part of the Species Verification Program (SVP) with Machine Learning/Deep Neural Network Based Analysis in Accordance with the Attached Statement of Work. 

Quantity: 1

Unit:  JB

Unit Price:  $_________

Total Price:  $ __________

The Government will award a Firm Fixed Price contract resulting from this solicitation to the responsible offeror whose offer conforming to the solicitation will be most advantageous to the Government, price and other factors considered.  The following factors shall be used to evaluate offers (1) Technical, (2) Past Performance, and (3) Price.

This RFQ is 100% set aside for small businesses. The associated NAICS code is 541511, Custom Computer Programming Services, with a Size Standard of $30M.

Additionally, each offeror must provide the following information with the quote:

  1. The Request for Quote (RFQ) number – 1305M220QNFFM02770
  2. The Name, Address, Telephone Number, and DUNS Number of the Offeror;
  3. Include a statement specifying the extent of agreement with all terms, conditions, and provisions included in the RFQ. Quotes that reject the terms and conditions of the RFQ may be excluded from consideration;
  4. Address technical capability in meeting the requirement per the Statement of Work.  This may include product literature, or other documents if necessary. 
  5. Submit no more than three past performance references similar in size and scope and completed or in progress within the last three years for meeting this requirement.   
  6. Acknowledgment of Solicitation Amendments (SF-30), if any.
     

All questions must be submitted in writing to Wendy.Culbreth@noaa.gov by11:00 A.M. Eastern Daylight Time (EDT) on July 24, 2020. Telephone inquiries will not be honored. 

All responsible sources may submit a quotation which shall be considered by the agency.

Quotes must be submitted by 4:00 P.M. Eastern on August 30, 2020 (changed from July 30, 2020) via e-mail to Wendy.Culbreth@noaa.gov.  Any award resulting from this RFQ will be made based on most advantageous to the Government, price and other factors considered. 

The anticipated award date is on or about August 25, 2020.

Quoters must be registered in the SAM database to be considered for award. Registration is free and can be completed on-line at http://www.sam.gov/.

The Government does not accept responsibility for non-receipt of quotes. It is the Contractor’s responsibility to request and receive a confirmation of the quote receipt.

Update #1 ·

THIS IS A COMBINED SYNOPSIS/SOLICITATION FOR COMMERCIAL ITEMS PREPARED IN ACCORDANCE WITH THE FORMAT IN FAR SUBPART 12.6, AS SUPPLEMENTED WITH ADDITIONAL INFORMATION INCLUDED IN THIS NOTICE. THIS ANNOUNCEMENT CONSTITUTES THE ONLY SOLICITATION; QUOTES ARE BEING REQUESTED AND A WRITTEN SOLICITATION WILL NOT BE ISSUED. This synopsis/solicitation 1305M220QNFFM02770 constitutes a Request for Quotation (RFQ) and incorporates provisions and clauses in effect through Federal Acquisition Circular 2020-08.

                                                                                                                           

The National Oceanic Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center (NEFSC), Woods Hole, MA has a requirement to develop software solutions that closely align the image review process currently underway as part of the Species Verification Program (SVP) with machine learning/deep neural network based analysis. Specifically, to develop software with detailed documentation that applies machine learning (ML) algorithms to identify 45 common fish species and incorporate continuous learning to improve models as new images and verification data become available. The goal of this work is to produce software that can maintain or improve accuracy and increase efficiency of the SVP data processing, and be shared with others working to identify similar species.  The period of performance will be twelve months.  

 CLIN:  0001

Description:  Contractor to Develop Software Solutions that Closely Align the Image Review Process Currently Underway as Part of the Species Verification Program (SVP) with Machine Learning/Deep Neural Network Based Analysis in Accordance with the Attached Statement of Work. 

Quantity: 1

Unit:  JB

Unit Price:  $_________

Total Price:  $ __________

The Government will award a Firm Fixed Price contract resulting from this solicitation to the responsible offeror whose offer conforming to the solicitation will be most advantageous to the Government, price and other factors considered.  The following factors shall be used to evaluate offers (1) Technical, (2) Past Performance, and (3) Price.

This RFQ is 100% set aside for small businesses. The associated NAICS code is 541511, Custom Computer Programming Services, with a Size Standard of $30M.

Additionally, each offeror must provide the following information with the quote:

  1. The Request for Quote (RFQ) number – 1305M220QNFFM02770
  2. The Name, Address, Telephone Number, and DUNS Number of the Offeror;
  3. Include a statement specifying the extent of agreement with all terms, conditions, and provisions included in the RFQ. Quotes that reject the terms and conditions of the RFQ may be excluded from consideration;
  4. Address technical capability in meeting the requirement per the Statement of Work.  This may include product literature, or other documents if necessary. 
  5. Submit no more than three past performance references similar in size and scope and completed or in progress within the last three years for meeting this requirement.   
  6. Acknowledgment of Solicitation Amendments (SF-30), if any.
     

All questions must be submitted in writing to Wendy.Culbreth@noaa.gov by11:00 A.M. Eastern Daylight Time (EDT) on July 24, 2020. Telephone inquiries will not be honored. 

All responsible sources may submit a quotation which shall be considered by the agency.

Quotes must be submitted by 4:00 P.M. Eastern on July 30, 2020 via e-mail to Wendy.Culbreth@noaa.gov.  Any award resulting from this RFQ will be made based on most advantageous to the Government, price and other factors considered. 

The anticipated award date is on or about August 25, 2020.

Quoters must be registered in the SAM database to be considered for award. Registration is free and can be completed on-line at http://www.sam.gov/.

The Government does not accept responsibility for non-receipt of quotes. It is the Contractor’s responsibility to request and receive a confirmation of the quote receipt.

Files

File Type Posted
SF-30 Amendment 0002.doc DOC document
SF-30 Amendment 0001.doc DOC document
Contractor Past Performance Reference Sheet.pdf PDF
RFQ Combined Synopsis Solicitation.docx DOCX document
Statement of Work.docx DOCX document
OPEN MARKET CONTRACT CLAUSES.docx DOCX document

Notice history

Notice Type Posted
Automatation of Species Verification Award Award Notice
This notice Latest solicitation Solicitation

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