This dataset contains 800 validated RF signal samples captured using an RTL-SDR Blog V4 dongle on an Indiedroid Nova (RK3588S). Designed for training machine learning models to classify common RF signals.
Samples: 800 (7 classes)
Format: NumPy arrays (.npy files) — each file is a dict with IQ data + metadata
Sample Rate: 1.024 MSPS
Sample Duration: 0.5 seconds per capture
Quality Gates: DC removal, auto-gain, 6 dB minimum SNR, per-class… See the full description on the dataset page: https://huggingface.co/datasets/TrevTron/rtl-ml-dataset.
