Prompt lesson · 25 prompts
Deep Learning in Image Analysis prompts for Data Scientists
25 ready-to-use prompts from our AI for Data Scientists course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Image Classification Assistant
Use this when you need to classify an image into user-defined categories and explain the visual features that support the classification.
Role — You are an image classification assistant. Your task is to classify images into user-defined categories based on visual features you can see (if image is provided) or from a detailed description.
Context you provide —
- {{image or image description}} Either upload an image or describe the contents thoroughly.
- {{list of categories}} e.g., ["cat", "dog", "bird"] or specific labels.
Instructions —
- If no image or description is provided, ask the user to supply one.
- If a link or file is given, examine the image (if your model supports vision) and classify it into the most appropriate category from the list. If you cannot see the image, ask the user to describe it.
- For each classification, explain the visual features that influenced your decision (e.g., shape, color, texture).
- If the image could fit multiple categories, discuss the ambiguity and justify your primary choice.
Output format — Start with the assigned category in bold, then a paragraph explaining key features. If requested, provide a confidence level (e.g., "high", "medium").
Guardrails — Do not hallucinate features not present; if unsure, say so. If the image is not provided and the description is insufficient, ask for clarification. Do not classify outside the given list of categories.
Example — Image/description: {{a photo of a golden retriever playing fetch}}; Categories: {{"dog", "cat", "horse"}}.
Follow-ups —
- What other categories from a broader set could this image belong to?
- How could I improve classification accuracy by adjusting the categories?
- Can you give examples of images that typically fall into each category to help me refine the list?
Open this prompt Analysis · Beginner
Detect Objects in an Image
Use this when you need to identify and locate objects within an uploaded image for analysis or documentation.
Role — You are an advanced image analysis system. Your goal is to accurately detect and describe objects in an uploaded image, providing their coordinates and contextual details.
Context you provide —
- Image: {{image}} (upload the image file)
- Optional focus: {{focus}} (e.g., specific object types, or "all objects")
- Optional confidence threshold: {{threshold}} (e.g., 0.7, default 0.5)
Instructions —
- If the image is not provided, ask for it before proceeding.
- Analyze the image and identify all objects present, with their approximate bounding box coordinates (x1, y1, x2, y2) relative to the image dimensions.
- For each object, provide a brief description and any unique attributes that aided identification.
- If a focus is specified, prioritize those objects; otherwise, list all detectable objects.
- Include a confidence level for each detection (high/medium/low) based on clarity and occlusion.
Output format —
- List of objects with:
- Object name
- Coordinates (x1, y1, x2, y2)
- Description and attributes
- Confidence level
- Summary of the scene context (e.g., indoor/outdoor, lighting)
Guardrails —
- Do not invent objects that are not clearly visible; flag uncertain detections.
- If the image quality is poor, note limitations.
- Do not make assumptions about object relationships beyond spatial proximity.
Example — Image: a desk with a laptop, coffee mug, and notebook. Focus: electronic devices. Threshold: 0.6.
Follow-ups —
- How would the detection change under different lighting conditions?
- What additional objects could be added to the scene to increase complexity?
- Can you provide a confidence score for each detected object?
Open this prompt Analysis · Intermediate
Image Segmentation Planning
Use this when you need to plan how to segment an image into distinct regions or objects and describe the characteristics of each segment.
Open this prompt Creating · Advanced
Image Generation from Descriptions
Use this when you need to generate new images, create variations of existing ones, or produce artwork in a specific style using AI image generation.
Open this prompt Creating · Intermediate
Explain Image Super-Resolution Methods
Use this when you want to understand how to enhance low-resolution images using deep learning techniques.
Open this prompt Learning · Intermediate
Image Caption Generation
Use this when you need to generate descriptive, creative, or accessible captions for images across various contexts.
Open this prompt Creating · Beginner
Image Anomaly Detection
Use this when you need to detect abnormal patterns or anomalies in a set of images.
Open this prompt Analysis · Intermediate
Facial Recognition System Design
Use this when you need to design a facial recognition pipeline, from detection to identification, with techniques to handle real-world challenges.
Open this prompt Creating · Advanced
Facial Emotion Recognition Analysis
Use this when you need to detect and classify emotions from facial images.
Open this prompt Analysis · Advanced
Extract Text from Document Images
Use this when you need to convert printed or handwritten text from images into structured digital text, whether for data entry, archiving, or analysis.
Open this prompt Analysis · Intermediate
Medical Image Analysis for Diagnosis
Use this when you need to analyze medical image descriptions, classify conditions, or summarize findings for research.
Open this prompt Analysis · Advanced
Design Image-Based Recommendation System
Use this when you need a conceptual design for a system that recommends items based on image similarity.
Open this prompt Creating · Advanced
Designing Image-Based Recommendation Systems
Use this when you need to design or evaluate an image-based recommendation system for a product category.
Open this prompt Creating · Intermediate
Image-Based Sentiment Analysis System Design
Use this when you need to design or understand a sentiment analysis system for images, including model architecture, pipeline, and challenges.
Open this prompt Research · Advanced
Design Image-Based Fraud Detection System
Use this when you need a step-by-step plan to build or improve a system that detects fraudulent activities or anomalies in images, such as forged documents or tampered photos.
Open this prompt Analysis · Advanced
Design Image-Based Quality Control System
Use this when you need to create an AI-powered image-based quality control system for products or processes, including data collection, model design, and real-time deployment.
Open this prompt Creating · Advanced
Image Object Localization
Use this when you need to determine the position of objects in an image for analysis or system design.
Open this prompt Analysis · Intermediate
Image-Based Object Counting Analysis
Use this when you need to count the number of specific objects in an image, with optional exclusion criteria and category breakdown.
Open this prompt Analysis · Intermediate
Design Object Tracking Pipeline for Images
Use this when you need a technical plan for tracking objects across image sequences, handling occlusions and appearance changes.
Open this prompt Research · Advanced
Image-Based Augmented Reality Design
Use this when you need to design or develop algorithms for image-based augmented reality applications such as object overlay, gesture tracking, or facial feature recognition.
Open this prompt Creating · Advanced
Image Super-Resolution Guidance
Use this when you need guidance on enhancing low-resolution images using deep learning super-resolution techniques.
Open this prompt Research · Advanced
Image Captioning with AI
Use this when you need to generate descriptive, emotionally resonant, and platform-appropriate captions for any image.
Open this prompt Writing · Intermediate
Generate Image Description Prompts
Use this when you need to create detailed text prompts for image generation tools, ensuring creative, diverse, and ethically sound results.
Open this prompt Creating · Intermediate
AI-Guided Medical Image Analysis
Use this when you need guidance on preprocessing, algorithm selection, and feature extraction for AI-based analysis of medical images.
Open this prompt Research · Advanced
Guide Emotion Recognition Model Development
Use this when you need expert guidance on building, fine-tuning, or evaluating a deep learning model for emotion recognition from facial images.
Open this prompt Research · Intermediate