HoloCount - Partial Object Occlusion: leaderboard

Counting heavily occluded objects, from Objects365 images: a subset of HoloCount (Meituan, 2026), a visual counting benchmark for multimodal LLMs. Models answer with a single integer, zero-shot; exact-match accuracy in percent, higher is better.

Metric: Accuracy (%; exact-match accuracy of the single integer count a multimodal model returns zero-shot for an image and a counting question, with a strict integer-only system prompt; counting heavily occluded objects (103 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 35B A3B65#482
2Qwen 3.5 9B64.1#803
3Qwen 3.5 122B A10B64.1#331
4Gemini 3.1 Pro (Preview)63.1#94
5Qwen 3.5 397B A17B61.2#246
6Kimi K2.661.2#178
7Qwen 3.5 27B61.2#359
8Gemini 3 Flash (Preview)61.2#144
9Qwen 2.5 VL 72B Instruct58.3#846
10Gemini 2.5 Pro56.3#266
11Claude Opus 4.855.3#56
12Qwen 3.5 4B55.3#1175
13GPT-4.150.5#495
14Claude Opus 4.750.5#79
15Qwen 3 VL 32B Instruct47.6#585

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=holocount-partial-object-occlusion · How It Works · Data refreshed daily, snapshot 2026-11-13.