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Despite the promise of synthetic data, the YOLOv8n model's performance remained unchanged, revealing that real images are still king in waste detection tasks.
LLM-generated unit tests can detect faults nearly four times more effectively than human-written tests, challenging the assumption that coverage is a reliable measure of test quality.
