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--- |
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library_name: transformers |
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tags: [] |
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--- |
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# ConvNext (trained on XCL from BirdSet) |
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ConvNext trained on the XCL dataset from BirdSet, covering 9736 bird species from Xeno-Canto. |
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### Model Details |
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ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. |
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## How to use |
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The BirdSet data needs a custom processor that is available in the BirdSet repository. The model does not have a processor available. |
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The model accepts a mono image (spectrogram) as input (e.g., `torch.Size([16, 1, 128, 1024])`) |
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- The model is trained on 5-second clips of bird vocalizations. |
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- num_channels: 1 |
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- pretrained checkpoint: facebook/convnext-base-224-22k |
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- sampling_rate: 32_000 |
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- normalize spectrogram: mean: -4.268, std: 4.569 (from esc-50) |
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- spectrogram: n_fft: 1024, hop_length: 320, power: 2.0 |
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- melscale: n_mels: 128, n_stft: 513 |
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- dbscale: top_db: 80 |
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## Citation |
