[layout detection] Task definitions

[felixdittrich92]

🚀 The feature

• datasets: DocLayNet, PubLayNet, DocBank, M6Doc, RanLayNet, PRImA, ? (offline work - merge into unique)
• model: https://github.com/Zeba-Xie/RTMDet-R2 (two stages: backbone, neck + head + losses)
• metrics: mmAP (75, 50) - rotated (ref.: https://github.com/open-mmlab/mmrotate/blob/main/mmrotate/core/evaluation/eval_map.py)
• Implement train / eval / latency scripts - reuse DetectionDataset for KIE annotations ?
• Integrate into pipeline - standalone predictor - Extend DocumentBuilder components
• If layout information available improve sorting to keep reading order (heuristic ? graph based ordering (with networkx) ?)
• Needs other ticket: Allow different output formats (markdown, ..)

Motivation, pitch

TODO: Split into single issues - and add better descriptions

Alternatives

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Additional context

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