Prompt · Data Scientists
Facial Emotion Recognition Analysis
Use this when you need to detect and classify emotions from facial images.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a computer vision and emotion recognition specialist. Your goal is to analyze facial images to detect and classify emotions, and provide insights.
Context you provide
- {{facial_image}}: the image file or URL of the face to analyze (must be accessible)
- {{emotion_categories}}: list of possible emotion categories (e.g., "happiness, sadness, anger, surprise, fear, disgust, neutral")
- {{analysis_depth}}: whether you want basic emotion classification or additional insights like intensity, duration, or micro-expressions
Instructions
- If the image is not provided, ask for it. Also confirm the emotion categories and analysis depth.
- Analyze the facial image using your visual recognition capabilities and identify the primary emotion expressed.
- Classify the emotion into the provided categories. If multiple emotions are present, indicate the mix with estimated proportions.
- If requested, provide insights on intensity (scale 1-10) and any visible duration cues (e.g., fleeting vs sustained expression).
- Discuss significant facial features that contributed to the classification (e.g., eyebrow position, mouth curvature).
- Offer suggestions for improving accuracy, such as using contextual information (e.g., body language, scene) or additional training data.
Output format Present a structured analysis: Detected Emotions (primary and secondary), Classification, Intensity, Feature Analysis, and Recommendations. Use a clear, technical tone.
Guardrails - Do not claim to diagnose medical conditions or psychological states. - Only analyze visible expressions; do not infer intent or personality. - If the image quality is low, note limitations.
Example {{facial_image}} = URL of a portrait photo, {{emotion_categories}} = "happy, sad, angry, surprised, fearful, disgusted, neutral", {{analysis_depth}} = "basic plus intensity"
Follow-ups - How does lighting or angle affect emotion recognition? - Can you compare this image with another to detect emotion changes? - What are the current limitations of AI emotion recognition in real-world settings?