Currency recognition and classification is one essential task to do. Both paper and coin currency play important role in transactions in everyday life. But provided there are many datasets available of paper currency, and very less datasets are available of coin currency.  Coin currency recognition becomes important because even though the amount for which people do coin transactions is small but inaccuracy in recognition can lead to huge loss. Following are the objectives to create this dataset:

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This dataset is used for the interference detection in high frequency over-the-horizon (OTH) radar, especially the sky-wave mode. The range-Doppler (RD) grey images are categorized into three types, i.e. the radio frequency interference (RFI), the transient interference (TSI), and no interference (NoI). Two databases are included. The simulated database is constructed based on signal models of interference, clutter and noise. The real database is constructed based on real data from OTH radars.

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