Image support

Claude Vision Capabilities: Study Notes

🖼️ Core Vision Capabilities

• Function: Claude can process images included within a user message.
• Tasks: Capabilities include identifying content, comparing different images, and counting objects.

⚙️ Technical Requirements & Limitations

• Image Limit: A single request can include up to 20 images across all messages.
• Image Constraints: There are limitations regarding the height and width of individual images.
• Token Cost: Sending an image counts as tokens, which contributes to the usage charge.
• Token Calculation: The number of tokens charged is calculated based on the image height and width in pixels.
• Implementation: Each image must be included as a separate "image part" within the user message list.

🧠 Best Practices: Prompt Engineering for Images

• Crucial Concept: Simple prompts often lead to inaccurate results when using images. Strong prompting techniques are essential for high accuracy.
• Effective Techniques:
• Providing clear guidelines.
• Providing detailed analysis steps.
• Using one-shot or multi-shot examples.
• Strategy: Providing Analysis Steps
• Instead of asking for a direct answer, instruct Claude to follow a multi-step process (e. g. , 1. Identify and count objects, 2. Recount to verify, 3. Compare counts to determine the final answer).
• Strategy: One-Shot/Multi-Shot Prompting
• Alternate between an image part and a text part to provide examples.
• Example: Image 1 + Text ("This image has 11 marbles") → Image 2 + [Your Task].

🏡 Use Case Example: Fire Risk Assessment

• Scenario: Automating fire risk assessment using high-resolution satellite imagery.
• Detailed Prompt Structure: A highly detailed prompt is necessary, including specific analysis steps:
• Step 1: Find the primary residence.
• Step 2: Analyze tree density, fire service access, and overhanging branches.
• Step 3: Assign a fire risk rating (e. g. , 1, 2, 3, or 4) based on defined criteria.
• Step 4: Provide a one-sentence summary for each finding.

Takeaways

• Claude can process images to identify content, compare visuals, and count objects within a user message.
• Technical limits include a maximum of 20 images per request, and token cost is calculated based on the image height and width in pixels.
• Strong prompting is essential for accuracy, as simple prompts often lead to inaccurate results.
• Effective prompting strategies include providing clear guidelines, detailed analysis steps, and using one-shot or multi-shot examples.