BaFCo - Coarse Layout Analysis (CoT): leaderboard

BaFCo (2026) is a Bangla form-comprehension benchmark built from 200 multi-page Bangladeshi government forms. Layout analysis over 5 coarse entity types with a chain-of-thought prompt, scored by mean average precision at IoU 0.3 on a 0 to 100 scale; higher is better.

Metric: Mean average precision at IoU 0.3 (0-100): class-wise average precision of predicted layout boxes, greedily matched to ground truth at IoU 0.3, averaged over the 5 coarse entity classes, x100; 200 Bangladeshi government forms (316 pages) with 16,382 annotated entities; chain-of-thought prompt; reasoning_effort low or high as labelled; schema-invalid outputs excluded. Source: arxiv.org. Saturation forecast: Around 2028. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Low)25.13#137 (Gemini 3 Pro)
2Gemini 3 Pro (High)24.44#137 (Gemini 3 Pro)
3GPT-5.2 (Low)16.71#176 (GPT-5.2)
4Kimi K2.5 (High)13.61#256 (Kimi K2.5)
5GPT-5.2 (High)13.54#176 (GPT-5.2)
6Qwen 3.6 Plus (High)6.93#222 (Qwen 3.6 Plus)
7Claude Opus 4.6 (High)3.58#102 (Claude Opus 4.6)

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

Interactive version: theaggregate.ai/benchmark?slug=bafco-coarse-layout-analysis-cot · How It Works · Data refreshed daily, snapshot 2026-11-13.