| AD01 |
MLPerf Tiny Deep AutoEncoder (DCASE 2020 ToyCar) |
MIT |
https://github.com/mlcommons/tiny/tree/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection |
| LM04 |
BERT-tiny RAID text detector ONNX |
MIT |
https://huggingface.co/ShantanuT01/BERT-tiny-RAID/tree/cbc7e63d4749e8a84f2f07d23576639ef979d6fa; https://huggingface.co/onnx-community/BERT-tiny-RAID-ONNX/tree/8f5741a3d45781899100c9a299b25624b5afa914 |
| OD06 |
EfficientDet-Lite0 int8/float32 v1 |
Apache-2.0 (TensorFlow EfficientDet model card/model family); COCO images retain source-owner/Flickr terms |
https://www.kaggle.com/models/tensorflow/efficientdet |
| OD07 |
EfficientDet-Lite2 int8/float32 v1 |
Apache-2.0 (TensorFlow EfficientDet model card/model family); COCO images retain source-owner/Flickr terms |
https://www.kaggle.com/models/tensorflow/efficientdet |
| SG06 |
DeepLabV3-MobileNetV2 width 1.0 Pascal train_aug |
Apache-2.0 for TensorFlow/Coral model artifacts; PASCAL VOC images retain Flickr/source terms |
https://github.com/tensorflow/models/tree/archive/research/deeplab |
| SG07 |
DeepLabV3-MobileNetV2 width 0.5 Pascal train_aug |
Apache-2.0 for TensorFlow/Coral model artifacts; PASCAL VOC images retain Flickr/source terms |
https://github.com/tensorflow/models/tree/archive/research/deeplab |
| SG08 |
EdgeTPU-DeepLab-slim width 0.75 Cityscapes |
Apache-2.0 for TensorFlow/Coral model artifacts; Cityscapes dataset is limited to agreed non-commercial terms |
https://github.com/tensorflow/models/tree/archive/research/deeplab |
| SP01 |
MLPerf Tiny DS-CNN KWS reference |
Apache-2.0; repository LICENSE.md SHA-256 0d542e0c8804e39aa7f37eb00da5a762149dc682d7829451287e11b938e94594 |
https://github.com/mlcommons/tiny/tree/v1.1/benchmark/training/keyword_spotting |
| SP02 |
MLPerf Tiny streaming wakeword 1D DS-CNN |
Apache-2.0; MLCommons Tiny repository |
https://github.com/mlcommons/tiny/tree/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/streaming_wakeword |
| SP08 |
TensorFlow Lite Micro micro_speech tiny_conv |
Apache-2.0; source LICENSE SHA-256 37dbed59a6aef0803f24a7dac146679491c460faa8bc3834974d786acf56a40f |
https://android.googlesource.com/platform/external/tensorflow/+/4ed0453e335/tensorflow/lite/micro/examples/micro_speech/train/ |
| SP09 |
Arm ML-Zoo clustered DS-CNN Large INT8 |
Apache-2.0 in artifact definition and repository LICENSE |
https://github.com/Arm-Examples/ML-zoo/tree/68b5fbc77ed28e67b2efc915997ea4477c1d9d5b/models/keyword_spotting/ds_cnn_large |
| VC01 |
MLPerf Tiny Visual Wake Words MobileNetV1 0.25 |
Apache-2.0 |
https://github.com/mlcommons/tiny/tree/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/visual_wake_words |
| VC02 |
MLPerf Tiny CIFAR-10 ResNet8 |
Apache-2.0 |
https://github.com/mlcommons/tiny/tree/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/image_classification |
| VC03 |
TensorFlow MobileNetV1 alpha=0.25 224 |
Apache-2.0 |
https://github.com/tensorflow/models/blob/4d7bdd8c170ee90850f2f9ccef0f6d19b817de35/research/slim/nets/mobilenet_v1.md |
| VC04 |
TensorFlow MobileNetV1 alpha=0.5 224 |
Apache-2.0 |
https://github.com/tensorflow/models/blob/4d7bdd8c170ee90850f2f9ccef0f6d19b817de35/research/slim/nets/mobilenet_v1.md |
| VC05 |
ST MobileNetV2 alpha=0.35 224 |
Apache-2.0 |
https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/1423c78953a830903485135febe1dd98ff31aed8/image_classification/mobilenetv2 |
| VC06 |
ST MobileNetV2 alpha=0.50 PyTorch 224 QDQ |
Apache-2.0 |
https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/1423c78953a830903485135febe1dd98ff31aed8/image_classification/mobilenetv2_pt |
| VC09 |
ONNX Model Zoo SqueezeNet 1.0 INT8 |
Apache-2.0 |
https://github.com/onnx/models/tree/4f43949841cb55a0b98dc8fcd045431ccafd9f96/validated/vision/classification/squeezenet |
| VC11 |
Google MediaPipe EfficientNet-Lite0 224 INT8 |
Apache-2.0 artifact metadata |
https://developers.google.com/edge/mediapipe/solutions/vision/image_classifier |
| VC12 |
ONNX Model Zoo MobileNetV2 1.0 INT8 |
Apache-2.0 |
https://github.com/onnx/models/tree/4f43949841cb55a0b98dc8fcd045431ccafd9f96/validated/vision/classification/mobilenet |
| VC13 |
ONNX Model Zoo ShuffleNetV2 x1.0 INT8 |
BSD-3-Clause |
https://github.com/onnx/models/tree/4f43949841cb55a0b98dc8fcd045431ccafd9f96/validated/vision/classification/shufflenet |
