Changes

== Introduction ==

== Introduction ==

The Department of Fisheries and Oceans (DFO) Canada manages over 200 fisheries on the three coasts. Successful fisheries management is dependent on effective fisheries monitoring. The goal of fisheries monitoring is to provide accurate, timely, and accessible fisheries data, which is needed to effectively implement management measures such as target and bycatch limits, quotas, and closed areas.

The Department of Fisheries and Oceans (DFO) Canada manages over 200 fisheries on the three coasts. Successful fisheries management is dependent on effective fisheries monitoring. The goal of fisheries monitoring is to provide accurate, timely, and accessible fisheries data, which is needed to effectively implement management measures such as target and bycatch limits, quotas, and closed areas.

== Model Development and Performance Results ==

== Model Development and Performance Results ==

For a detailed description of the AI modeling approach and results, please click here.

For a detailed description of the AI modeling approach and results, please click [[:en:images/7/74/DFO_Phase_IIB_Close_out.pdf|here]].

== Demo ==

== Demo ==

Click [https://vimeo.com/892077942 here] for a demo of the tool.

Click [https://vimeo.com/893734709?share=copy here] for a demo of the tool.

== The Proof of Value Phase ==

== The Proof of Value Phase ==

The project currently is in the Proof of Value (POV) phase. The process for reviewing involves reviewers following their usual routine, where clips relevant to the participating boats from different tows are extracted from the loaded footage into FishVue Interpret and then loaded into the Proof of Concept solution. The reviewer is tasked with selecting at least 3 to 5 images from each tow for catch apportionment analysis. Afterward, they will review these catch apportionment results, utilizing them to inform and make more accurate catch estimates. Moreover, a sample of tows will undergo a full manual review. This step is crucial as it allows for the assessment of the impact on the accuracy of the catch estimates.

The project currently is in the Proof of Value (POV) phase. The process for reviewing involves reviewers following their usual routine, where clips relevant to the participating boats from different tows are extracted from the loaded footage into FishVue Interpret and then loaded into the Proof of Concept solution. The reviewer is tasked with selecting at least 3 to 5 images from each tow for catch apportionment analysis. Afterward, they will review these catch apportionment results, utilizing them to inform and make more accurate catch estimates. Moreover, a sample of tows will undergo a full manual review. This step is crucial as it allows for the assessment of the impact on the accuracy of the catch estimates.