niobures/PANNs

By niobures · ↓ 0 · ♥ 0 · Updated 2025-10-23

What's in this repo

This page lists the files in niobures/PANNs, including audio_tagging.onnx, sound_event_detection.onnx.

2 ONNX models (.onnx files)
86 files, including 25 .pth, 10 .txt, 9 .zip, 9 .md, 7 .json, 7 .safetensors
Last updated 2025-10-23

ONNX files

File	Size	Download
models/onnx/ailia-models/audio_tagging.onnx	—	Download
models/onnx/ailia-models/sound_event_detection.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

No README provided by the author.

Model info

onnx safetensors region:us

↓ 0 ♥ 0

Created: 2025-10-05

Updated: 2025-10-23

View on Hugging Face

Files (86)

.gitattributes

PANNs. Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition.pdf

code/PANNs.zip

code/audioset_tagging_cnn (orig).zip

code/inference/panns_AT_inference [StefanoGiacomelli] +22.zip

code/inference/panns_inference [blisst] +6.zip

code/inference/panns_inference [mino-2021] +4.zip

code/inference/panns_inference [sajabdoli] +1.zip

code/inference/panns_inference [tbyronb] +2.zip

code/inference/panns_inference.zip

models/checkpoints/Cnn14_DecisionLevelMax_mAP=0.385.pth

models/checkpoints/Cnn14_mAP=0.431.pth

models/huggingface/panns-inference/.gitattributes

models/huggingface/panns-inference/Cnn14_mAP=0.431.pth

models/huggingface/panns-inference/README.md

models/huggingface/panns-inference/source.txt

models/huggingface/panns_Cnn10/.gitattributes

models/huggingface/panns_Cnn10/README.md

models/huggingface/panns_Cnn10/config.json

models/huggingface/panns_Cnn10/model.safetensors

models/huggingface/panns_Cnn10/source.txt

models/huggingface/panns_Cnn14/.gitattributes

models/huggingface/panns_Cnn14/README.md

models/huggingface/panns_Cnn14/config.json

models/huggingface/panns_Cnn14/model.safetensors

models/huggingface/panns_Cnn14/source.txt

models/huggingface/panns_Cnn6/.gitattributes

models/huggingface/panns_Cnn6/README.md

models/huggingface/panns_Cnn6/config.json

models/huggingface/panns_Cnn6/model.safetensors

models/huggingface/panns_Cnn6/source.txt

models/huggingface/panns_MobileNetV2/.gitattributes

models/huggingface/panns_MobileNetV2/README.md

models/huggingface/panns_MobileNetV2/config.json

models/huggingface/panns_MobileNetV2/model.safetensors

models/huggingface/panns_MobileNetV2/source.txt

models/huggingface/panns_ResNet22/.gitattributes

models/huggingface/panns_ResNet22/README.md

models/huggingface/panns_ResNet22/config.json

models/huggingface/panns_ResNet22/model.safetensors

models/huggingface/panns_ResNet22/source.txt

models/huggingface/panns_Wavegram_Logmel_Cnn14/.gitattributes

models/huggingface/panns_Wavegram_Logmel_Cnn14/README.md

models/huggingface/panns_Wavegram_Logmel_Cnn14/config.json

models/huggingface/panns_Wavegram_Logmel_Cnn14/model.safetensors

models/huggingface/panns_Wavegram_Logmel_Cnn14/source.txt

models/huggingface/panns_leenet11/.gitattributes

models/huggingface/panns_leenet11/README.md

models/huggingface/panns_leenet11/config.json

models/huggingface/panns_leenet11/model.safetensors

models/huggingface/panns_leenet11/source.txt

models/onnx/ailia-models/audio_tagging.onnx ONNX

models/onnx/ailia-models/audio_tagging.onnx.prototxt

models/onnx/ailia-models/code/R9_ZSCveAHg_7s.wav

models/onnx/ailia-models/code/README.md

models/onnx/ailia-models/code/audioset_tagging_cnn.py

models/onnx/ailia-models/code/class_labels_indices.csv

models/onnx/ailia-models/code/output.png

models/onnx/ailia-models/code/utilities.py

models/onnx/ailia-models/sound_event_detection.onnx ONNX

models/onnx/ailia-models/sound_event_detection.onnx.prototxt

models/onnx/ailia-models/source.txt

models/pretrained/Cnn10_mAP=0.380.pth

models/pretrained/Cnn14_16k_mAP=0.438.pth

models/pretrained/Cnn14_8k_mAP=0.416.pth

models/pretrained/Cnn14_DecisionLevelAtt_mAP=0.425.pth

models/pretrained/Cnn14_DecisionLevelMax_mAP=0.385.pth

models/pretrained/Cnn14_emb128_mAP=0.412.pth

models/pretrained/Cnn14_emb32_mAP=0.364.pth

models/pretrained/Cnn14_emb512_mAP=0.420.pth

models/pretrained/Cnn14_mAP=0.431.pth

models/pretrained/Cnn6_mAP=0.343.pth

models/pretrained/DaiNet19_mAP=0.295.pth

models/pretrained/LeeNet11_mAP=0.266.pth

models/pretrained/LeeNet24_mAP=0.336.pth

models/pretrained/MobileNetV1_mAP=0.389.pth

models/pretrained/MobileNetV2_mAP=0.383.pth

models/pretrained/Res1dNet31_mAP=0.365.pth

models/pretrained/Res1dNet51_mAP=0.355.pth

models/pretrained/ResNet22_mAP=0.430.pth

models/pretrained/ResNet38_mAP=0.434.pth

models/pretrained/ResNet54_mAP=0.429.pth

models/pretrained/Wavegram_Cnn14_mAP=0.389.pth

models/pretrained/Wavegram_Logmel_Cnn14_mAP=0.439.pth

models/pretrained/paper_statistics.zip

models/pretrained/source.txt

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