Furiosa Models
furiosa-models is an open model zoo project for FuriosaAI NPU.
It provides a set of public pre-trained, pre-quantized models for learning and demo purposes or
for developing your applications.
furiosa-models also includes pre-packaged post/processing utilities, compiler configurations optimized
for FuriosaAI NPU. However, all models are standard ONNX or tflite models,
and they can run even on CPU and GPU as well.
Releases
- v0.8.0 - 2022-11-10
Online Documentation
If you are new, you can start from Getting Started. You can also find the latest online documents, including programming guides, API references, and examples from the followings:
- Furiosa Models - Latest Documentation
- Model object
- Model List
- Command Tool
- Furiosa SDK - Tutorial and Code Examples
Model List
The table summarizes all models available in furiosa-models. If you visit each model link,
you can find details about loading a model, their input and output tensors, pre/post processings, and usage examples.
| Model | Task | Size | Accuracy |
|---|---|---|---|
| ResNet50 | Image Classification | 25M | 76.002% (ImageNet1K-val) |
| SSDMobileNet | Object Detection | 7.2M | mAP 0.228 (COCO 2017-val) |
| SSDResNet34 | Object Detection | 20M | mAP 0.220 (COCO 2017-val) |
| YOLOv5M | Object Detection | 21M | mAP 0.280 (Bdd100k-val) |
| YOLOv5L | Object Detection | 46M | mAP 0.295 (Bdd100k-val) |