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Trained YOLOX from scratch to avoid Ultralytics (aircraft detection)

Trained YOLOX from scratch to avoid Ultralytics (aircraft detection)

by auspiv·Feb 17, 2026·2 points·1 comment

AI Analysis

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The Take

The author documents ripping out Ultralytics and training YOLOX end-to-end on an aircraft dataset, releasing code under an MIT license so you can run and modify the whole pipeline yourself. This is the sort of no-frills, reproducible recipe that saves time if you need full control over configs, checkpoints and licensing — not novel research, but genuinely useful for people who hit the limits of packaged repos.

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Target Audience

Computer vision engineers, ML practitioners, hobbyists building object-detection models, and researchers needing permissive-licensed models

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