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I trained YOLO on 2,400 Unreal Engine frames. Synthetic validation reached 0.888 mAP50, but real-world recall was 0.350. Here’s what failed.

This story is from 2026-08-21. It is preserved in the archive; the latest stories are on the live feed.

I trained a single-class YOLOv5n person detector using no real images: 2,400 synthetic frames from eight Unreal Engine 5.8 maps 9,007 native-scale 640 px tiles 63,742 person boxes 100 epochs, approximately 30 minutes on one RTX 4090 int8 deployment on a Coral USB Accelerator On the float model's sy…

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  1. 2026-08-21 03:46 · r/computervision
    I trained YOLO on 2,400 Unreal Engine frames. Synthetic validation reached 0.888 mAP50, but real-world recall was 0.350. Here’s what failed.

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