Radar-Based Milk Spoilage Detection Dataset
收藏Zenodo2026-03-01 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18826142
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资源简介：
Raw mmWave radar ADC dataset for milk spoilage detection (UNSW Honours thesis project).
Contents- 16 raw DCA1000 ADC capture files (`.bin`, ~64 MiB total)- Radar/capture configs (`configs/Milk.mmwave.json`, `configs/Milk.setup.json`)- Reference scripts (`code/`) for dataset building and training/evaluation
ConditionsThree acquisition groups: (1) Metal reflector + Light milk, (2) No reflector + Light milk, (3) No reflector + Full-cream milk. Time/state labels: 0H, 21H, 48H, 70H + No_Milk (empty control). Container: transparent plastic.
HardwareTI AWR1843 (77 GHz) + DCA1000; 256 ADC samples/chirp; 64 loops/frame; 8 frames/capture; 40 ms frame periodicity.
Labels & pHPer-file labels and measured pH values are provided in `LABELS.md` and `metadata.csv` (included in the release package).
Please cite this Zenodo record (DOI) if used.
提供机构：
Zenodo
创建时间：
2026-03-01
