Nocturne is a bioacoustic species classifier trained by Stratus Labs covering the taxa that BirdNET and Perch don't: insects, amphibians, non-bird mammals, and reptiles. It's the "night side" of the soundscape — the taxa that are dominantly nocturnal or crepuscular, whose acoustic signal is the half of biodiversity monitoring bird-focused models leave behind. v1.1 (this revision) uses a 3× higher learning rate than v1 during backbone fine-tuning. Independent runs at both LRs plateaued around macro-F1 0.10; v1.1 edged past by ~3 %. Prior v1 weights are preserved in the commit history if you want to pin to revision=. Live public endpoint hosted on Stratus Labs infra (Apple M4 Max…
Open weights
cc-by-4.0
88M parameters
transformers
Audio Spectrogram Transformer, ~86M parameters, 2,196 output columns. This is the first candidate in the Nocturne line to clear our pre-committed release gate against the v1 teacher. It got there by fixing two supervision bugs, not by adding data — which is the most useful thing in this card. Read the limitations section before deploying it. On an unseen recording site this model is substantially worse than v1, and our much smaller distilled student beats it outright on the very test it was released for. Both are stated with numbers below. Identical 13,710-clip held-out test set, per-class thresholds calibrated on validation, scored over the 2,182 name-aligned core classes. Rows are…
Open weights
cc-by-4.0
88M parameters
transformers
