TrevTron/rtl-ml-dataset
RTL-ML Dataset v2 Dataset Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/TrevTron/rtl-ml-dataset.
| Author / organization | TrevTron |
|---|---|
| License (as declared) | mit |
| Downloads | 379 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 11 February 2026 |
| Last updated at source | 26 March 2026 |
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Recent changes
- 16 Oct 2026 Description: RTL-ML Dataset v2 Dataset Summary 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. S → RTL-ML Dataset v2 Dataset Summary 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. S
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