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| ## BirdNET Analyzer Model Version History | |
| This repository contains only the latest version of the BirdNET-Analyzer model. We will track the changes in this document and also provide permanent download links to previous versions for testing and/or other use cases. | |
| You can download and unzip previous model versions, make sure to update the `MODEL_PATH` and `LABELS_FILE` variable in the `config.py` file to the version you want to use. | |
| Model update history: | |
| **V2.4** | |
| - more than 6,000 species worldwide | |
| - covers frequencies from 0 Hz to 15 kHz with two-channel spectrogram (one for low and one for high frequencies) | |
| - 0.826 GFLOPs, 50.5 MB as FP32 | |
| - enhanced and optimized metadata model | |
| - global selection of species (birds and non-birds) with 6,522 classes (incl. 10 non-event classes) | |
| - Download here: [BirdNET-Analyzer-V2.4.zip](https://drive.google.com/file/d/1ixYBPbZK2Fh1niUQzadE2IWTFZlwATa3) | |
| **V2.3** | |
| - slightly larger (36.4 MB vs. 21.3 MB as FP32) but smaller computational footprint (0.698 vs. 1.31 GFLOPs) than V2.2 | |
| - larger embedding size (1024 vs 320) than V2.2 (hence the bigger model) | |
| - enhanced and optimized metadata model | |
| - global selection of species (birds and non-birds) with 3,337 classes (incl. 10 non-event classes) | |
| - Download here: [BirdNET-Analyzer-V2.3.zip](https://drive.google.com/file/d/1hhwQBVBngGnEhmqYeDksIW8ZY1FJmwyi) | |
| **V2.2** | |
| - smaller (21.3 MB vs. 29.5 MB as FP32) and faster (1.31 vs 2.03 GFLOPs) than V2.1 | |
| - maintains same accuracy as V2.1 despite more classes | |
| - global selection of species (birds and non-birds) with 3,337 classes (incl. 10 non-event classes) | |
| - Download here: [BirdNET-Analyzer-V2.2.zip](https://drive.google.com/file/d/166w8IAkXGKp6ClKb8vaniG1DmOr8Fwem) | |
| **V2.1** | |
| - same model architecture as V2.0 | |
| - extended 2022 training data | |
| - global selection of species (birds and non-birds) with 2,434 classes (incl. 10 non-event classes) | |
| - Download here: [BirdNET-Analyzer-V2.1.zip](https://drive.google.com/file/d/15cvPiezn_6H2tQs1FGMVrVdqiwLjLRms) | |
| **V2.0** | |
| - same model design as 1.4 but a bit wider | |
| - extended 2022 training data | |
| - global selection of species (birds and non-birds) with 1,328 classes (incl. 10 non-event classes) | |
| - Download here: [BirdNET-Analyzer-V2.0.zip](https://drive.google.com/file/d/1h2Tbk_29ghNdK62ynrdRWyxT4H1fpFGs) | |
| **V1.4** | |
| - smaller, deeper, faster | |
| - only 30% of the size of V1.3 | |
| - still linear spectrogram and EfficientNet blocks | |
| - extended 2021 training data | |
| - 1,133 birds and non-birds for North America and Europe | |
| - Download here: [BirdNET-Analyzer-V1.4.zip](https://drive.google.com/file/d/1h14-Y8dOrPr9XCWfIoUjlWMJ9aWyNkKa) | |
| **V1.3** | |
| - Model uses linear frequency scale for spectrograms | |
| - uses V2 fusion blocks and V1 efficient blocks | |
| - extended 2021 training data | |
| - 1,133 birds and non-birds for North America and Europe | |
| - Download here: [BirdNET-Analyzer-V1.3.zip](https://drive.google.com/file/d/1h0nJzPjyJWbkfPyaWpS332xUwzDOygs9) | |
| **V1.2** | |
| - Model based on EfficientNet V2 blocks | |
| - uses V2 fusion blocks and V1 efficient blocks | |
| - extended 2021 training data | |
| - 1,133 birds and non-birds for North America and Europe | |
| - Download here: [BirdNET-Analyzer-V1.2.zip](https://drive.google.com/file/d/1h-il_W6t8Tz_XHrRMO1zcp_ThYp9QPLK) | |
| **V1.1** | |
| - Model based on Wide-ResNet (aka "App model") | |
| - extended 2021 training data | |
| - 1,133 birds and non-birds for North America and Europe | |
| - Download here: [BirdNET-Analyzer-V1.1.zip](https://drive.google.com/file/d/1gzpwiCAf2HkfcAmlRq1K9Q0KrDsd5nGP) | |
| **App Model** | |
| - Model based on Wide-ResNet | |
| - ~3,000 species worldwide | |
| - currently deployed as BirdNET app model | |
| - Download here: [BirdNET-Analyzer-App-Model.zip](https://drive.google.com/file/d/1gxkxPFlaTYxHFqAODDHYGUX8uEkZDWaL) |