# YOLO26 — Person Detection Fine-tuned on PRW
Fine-tuned variants of **YOLO26** (Small/ Large) for person detection, trained with a two-stage pipeline: intermediate pre-training on [CrowdHuman](https://www.crowdhuman.org/) followed by fine-tuning on [PRW (Person Re-identification in the Wild)](https://github.com/liangzheng06/PRW-baseline).
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## Training Pipeline
The pipeline consists of three phases:
### Phase 0 - COCO Zero-shot Baseline
YOLO26 weights pre-trained on COCO are evaluated directly on PRW without any fine-tuning, establishing a zero-shot reference point.
### Phase 1 - CrowdHuman Intermediate Pre-training
The COCO-pretrained model is fine-tuned on CrowdHuman (full-body `fbox` annotations, person class only, `ignore=1` instances excluded) to adapt the backbone to pedestrian/crowd scenarios before seeing PRW.
**CrowdHuman training settings:**
- Epochs: 30 | Optimizer: AdamW | LR: 5e-4 → 5e-6 (cosine)
- Warmup: 3 epochs | Early stopping patience: 10
- Input size: 640…
