OPEN_SOURCE ↗
REDDIT · REDDIT// 5h agoBENCHMARK RESULT
Vision AI stumbles on object counting
A Reddit user tested Copilot and Gemini on a dense image-counting task, asking them to count the number of cases in a photo. The thread turned into a reminder that multimodal chatbots can describe images well but still struggle with precise object counting without task-specific tooling.
// ANALYSIS
This is less a shocking AI failure than a useful boundary marker: general-purpose vision-language models are not reliable measurement instruments.
- –Dense, overlapping objects remain a weak spot for chat-first multimodal systems
- –Prompt correction can improve answers, but it does not guarantee exact counting
- –The better engineering answer is segmentation, detection, or classical CV plus verification
- –For developers, this is a reminder to wrap LLM vision with purpose-built tools when precision matters
// TAGS
copilotgeminimultimodalllmbenchmarkcomputer-use
DISCOVERED
5h ago
2026-04-22
PUBLISHED
5h ago
2026-04-22
RELEVANCE
5/ 10
AUTHOR
YERAFIREARMS