New AI model called "Count Anything" does exactly what it says, and that's harder than it sounds
Quick Answer
The 'Count Anything' AI model can count objects in any image using text prompts, reducing error rates by 50% compared to previous systems, though it still faces challenges with dense objects and ambiguous terms.
Key Points
- First AI model to count objects in any image type.
- Cuts error rate in half compared to earlier systems.
- Challenges remain with extremely dense objects.
- Ambiguous terms still pose difficulties for the model.
- Applicable to diverse scenarios, from crowds to microscopic samples.
Source Excerpt
"Count Anything" is intended to be the first AI model capable of counting objects in any type of image, from crowds to cell samples under a microscope, using nothing more than a text prompt. In a comparative test, it cuts the error rate in half compared to previous systems. However, the approach still struggles with extremely dense objects and ambiguous terms.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.
