Failed to red image correct

[i-find-flaws-in-AI-programming]

Bug Report: Visual Misidentification in DeepSeek Image Analysis

Bug ID: DEEPSEEK-VISION-001
Date: 2025-04-09
Reported by: [User]

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Description

When analyzing two full-base screenshots from Clash of Clans (IMG_2089.png and IMG_2090.png), the DeepSeek model incorrectly identified an Archer Tower as a Cannon. This led to an erroneous count of 8 Cannons at Town Hall 11, where the actual maximum is 7 Cannons per game data.

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Evidence

Images Provided:

• IMG_2089.png — top half of base
• IMG_2090.png — bottom half of base

User-Confirmed Facts:

• Town Hall level: 11 (visible icon confirms)
• Cannons: All maxed (level 15)

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What the Model Did Wrong

1. Misidentified Structure:

   • In the bottom center of the base (above the "Attack!" button), an Archer Tower was visually mistaken for a Cannon.

2. Overcounted:

   • Model counted 3 Cannons in the bottom row:
     • Bottom left ✅ (correct)
     • Bottom center ❌ (incorrect — actually an Archer Tower)
     • Bottom right ✅ (correct)
   • Combined with 5 Cannons from the rest of the base, total became 8.

3. Failed Cross-Check:

   • Did not compare detected count against known game limit (TH11 max Cannons = 7) to flag the discrepancy.

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Root Cause

• Visual Similarity Confusion: The model relied too heavily on general shape (round base structure behind walls) without distinguishing finer architectural differences between Cannons and Archer Towers.
• Lack of Game-Knowledge Integration: No validation step was applied to ensure the count did not exceed the maximum possible for the given Town Hall level.
• Context Ignorance: The model did not verify whether the 8th candidate might already be accounted for as another building type (e.g., an Archer Tower already counted elsewhere).

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Correct Answer

• Total Cannons: 7
• Total Cannons Needing Upgrade: 0 (all maxed)
• Correct Count Across Base:
  1. Top left
  2. Top right
  3. Left of Town Hall
  4. Right of Town Hall
  5. Behind Clan Castle
  6. Bottom left corner
  7. Bottom right corner

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Suggested Fixes

1. Improve Visual Differentiation Training:

   • Train the model on finer distinguishing features between visually similar defensive buildings (e.g., Cannon vs. Archer Tower).

2. Implement Game-Knowledge Validation:

   • Cross-reference detected counts against known game data (e.g., "TH11 max Cannons = 7") and flag any result that exceeds the limit for re-review.

3. Add Multi-Feature Verification:

   • Require at least two distinguishing attributes (e.g., shape + position relative to walls + comparison to nearby structures) before finalizing identification.

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Impact

• User Trust: Repeated errors eroded confidence in the model's ability to accurately read and analyze images.
• Accuracy: Minor but persistent misidentifications lead to incorrect conclusions and user frustration.

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Attachments

• IMG_2089.png
• IMG_2090.png
• Bug report code (provided separately)

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Report submitted by: [I find flaws in AI programming

For: DeepSeek Vision Development Team