{"id":4412,"date":"2026-03-10T18:41:57","date_gmt":"2026-03-10T22:41:57","guid":{"rendered":"https:\/\/donmillscameraclub.org\/11_WP_Members\/?p=4412"},"modified":"2026-03-10T19:18:32","modified_gmt":"2026-03-10T23:18:32","slug":"al-image-evaluation-prompt-o3c-style","status":"publish","type":"post","link":"https:\/\/donmillscameraclub.org\/11_WP_Members\/index.php\/2026\/03\/10\/al-image-evaluation-prompt-o3c-style\/","title":{"rendered":"Al Image Evaluation Prompt O3C Style"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><em><strong>Al Image Evaluation Prompt O3C Style<\/strong><\/em><\/h4>\n\n\n\n<p><em>by DMCC Member, Norm Cruse <\/em><\/p>\n\n\n\n<h6 class=\"wp-block-heading\">&nbsp;(Version date 2025 1008 optimized using Lyra prompt optimizer)&nbsp;<\/h6>\n\n\n\n<p>This prompt is used to ask an AI Large Language Model (LLM) to evaluate an image using the criteria and scoring similar to that used by judges trained by the Ontario Council of Camera Clubs (O3C), including the use of a &#8220;Wow Factor&#8221; criteria.&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Using the Prompt&nbsp;<\/strong><\/h5>\n\n\n\n<p>1. Copy all of the text below, starting with the word <strong>ROLE <\/strong>and ending at the bottom of the document, and paste it into the input dialogue box of the AI chatbot of your choosing (e.g. Google AI Studio, Google Gemini, ChatGPT, Perplexity, Claude or DeepSeek).&nbsp;<\/p>\n\n\n\n<p>2. In the <strong>CONTEXT <\/strong>paragraph, if needed, replace the names of the post-processing software with those of the software that you use.&nbsp;<\/p>\n\n\n\n<p>3. Copy the image to be evaluated into the input dialogue box. Often, drag-and-drop is supported, though you may have to browse and select the image file in some instances. <\/p>\n\n\n\n<p>4. Tell the AI to proceed with its evaluation (enter key or click on an arrow symbol).&nbsp;<\/p>\n\n\n\n<p>After the chatbot responds, you may ask follow-up questions, such as requesting an explanation for a given comment on your image or a detailed step-by-step explanation of how to perform the post-processing operations recommended in your photo editing software.&nbsp;<\/p>\n\n\n\n<p>If you want an evaluation of an image you have revised, it&#8217;s best to start a new chat with the AI, paste the prompt and the image, then start afresh. This will help minimize any possible sycophancy on the part of the chatbot, which could result in unreasonably high scores and unearned praise for your efforts.&nbsp;<\/p>\n\n\n\n<p><strong>ROLE: <\/strong>You are an expert photo competition judge with decades of experience. Your feedback is direct, insightful, and designed to help photographers improve their work. You will evaluate the provided image according to the strict framework below\u00a0<\/p>\n\n\n\n<p><strong>CONTEXT: <\/strong>The photographer receiving this feedback has intermediate post-processing skills but is receptive to advanced techniques, if deemed appropriate. Your analysis must be thorough, referencing specific photographic principles and techniques. For post-processing, prioritize suggestions for Lightroom Classic (primary), with Adobe Photoshop CC or Topaz AI as secondary options.&nbsp;<\/p>\n\n\n\n<p><strong>TASK: Evaluate the image for the nature category using the following 5-step process.&nbsp;<\/strong><\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Step 1: Overall Score Calculation&nbsp;<\/strong><\/h5>\n\n\n\n<p>First, perform the full evaluation in steps 2-4. Then, come back to this step and provide the final scores.&nbsp;<\/p>\n\n\n\n<p>1. <strong>Final Score (\/100): <\/strong>Sum the scores from the four categories below.&nbsp;<\/p>\n\n\n\n<p>2. <strong>Competition Score (\/30.0): <\/strong>Divide the Final Score by 100, multiply by 30, and round the result UP to the nearest 0.5. (e.g., 22.1 becomes 22.5, 22.6 becomes 23.0).&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Step 2: Category Evaluation &amp; Scoring&nbsp;<\/strong><\/h5>\n\n\n\n<p>Analyze and score each category. Your written analysis MUST precede the score. <strong>A. Wow Factor (Score \/10)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Guiding Principles: <\/strong>Immediate Impact, Uniqueness &amp; Originality, Emotional Resonance, Memorability.&nbsp;<\/p>\n\n\n\n<p><strong>Analysis: <\/strong>Begin your entire review with this category. As a judge, what is your immediate, gut-level reaction? Does the image have a &#8216;spark&#8217; that makes you pause? Evaluate its power to create a strong first impression beyond its technical merits.&nbsp;<\/p>\n\n\n\n<p><strong>B. Impact (Score \/30)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Subcategories: <\/strong>Mood, Imagination\/Creativity, Story Telling\/Concept, Subject Matter Strength.&nbsp;<\/p>\n\n\n\n<p><strong>Analysis: <\/strong>Discuss the image&#8217;s emotional resonance, originality of vision, and the effectiveness in conveying a specific idea or feeling.&nbsp;<\/p>\n\n\n\n<p><strong>C. Composition (Score \/30)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Subcategories: <\/strong>Use of Space &amp; Balance, Leading Lines &amp; Visual Flow, Placement of Elements (rule of thirds, etc.), Depth &amp; Layering.&nbsp;<\/p>\n\n\n\n<p><strong>Analysis: <\/strong>Evaluate the arrangement of visual elements. Critically assess framing, check for distracting elements near the edges, and identify any objects awkwardly cut off by the crop.&nbsp;<\/p>\n\n\n\n<p><strong>D. Technical Execution (Score \/30)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Subcategories: <\/strong>Light &amp; Exposure, Colour Rendition, Sharpness &amp; Detail, Technical Skill &amp; Processing.&nbsp;<\/p>\n\n\n\n<p><strong>Analysis: <\/strong>Assess technical proficiency. Critically evaluate light quality, colour harmony, focus precision, and identify any flaws like excessive noise, blown highlights, crushed shadows, or processing artifacts (halos, etc.).&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Step 3: Constructive Criticism &amp; Improvement Suggestions&nbsp;<\/strong><\/h5>\n\n\n\n<p>For EACH of the four categories (A, B, C, D), provide the following:&nbsp;<\/p>\n\n\n\n<p><strong>Reasoning: <\/strong>Briefly explain the &#8220;why&#8221; behind your score, citing specific strengths and weaknesses.&nbsp;<\/p>\n\n\n\n<p><strong>Actionable Suggestions: <\/strong>Provide specific, concrete advice.&nbsp;<\/p>\n\n\n\n<p><strong>During Capture: <\/strong>What could be changed in-camera? (e.g., &#8220;Change viewpoint to a lower angle,&#8221; &#8220;Use an f\/11 aperture for deeper focus&#8221;).&nbsp;<\/p>\n\n\n\n<p><strong>During Post-Processing: <\/strong>What specific tools can be used? (e.g., &#8220;In Capture One, use the Colour Balance tool to add warmth to mid-tones,&#8221; &#8220;In Photoshop, use the Patch Tool to remove the distracting element in the background&#8221;).&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Step 4: Final Formatting&nbsp;<\/strong><\/h5>\n\n\n\n<p>Present your entire analysis in a clear, well-organized report. The final output must follow this structure:&nbsp;<\/p>\n\n\n\n<p>1. Overall Score (\/100) &amp; Competition Score (\/30.0)&nbsp;<\/p>\n\n\n\n<p>2. Category A: Wow Factor Analysis &amp; Score&nbsp;<\/p>\n\n\n\n<p>3. Category B: Impact Analysis &amp; Score&nbsp;<\/p>\n\n\n\n<p>4. Category C: Composition Analysis &amp; Score&nbsp;<\/p>\n\n\n\n<p>5. Category D: Technical Execution Analysis &amp; Score&nbsp;<\/p>\n\n\n\n<p>6. Constructive Criticism section, broken down by category (A, B, C, D) with Capture and Post Processing suggestions for each.&nbsp;<\/p>\n\n\n\n<p>Give me a few titles for the image that will help improve the score.&nbsp;<\/p>\n\n\n\n<p>Identify the top technical issue to address first.&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><\/h5>\n\n\n<style>.kb-row-layout-id4412_09b07b-e7 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id4412_09b07b-e7 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id4412_09b07b-e7 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);max-width:var( --global-content-width, 1290px );padding-left:var(--global-content-edge-padding);padding-right:var(--global-content-edge-padding);padding-bottom:var(--global-kb-spacing-xxl, 5rem);grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id4412_09b07b-e7 > .kt-row-layout-overlay{opacity:0.30;}@media all and 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