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Do not merge: This PR is for releasing docs for 0.10.2 #188

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Do not merge: This PR is for releasing docs for 0.10.2 #188

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26 changes: 13 additions & 13 deletions README.md
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Expand Up @@ -17,15 +17,15 @@ and they can run even on CPU and GPU as well.
* [v0.8.0](https://furiosa-ai.github.io/furiosa-models/v0.8.0/changelog/) - 2022-11-10

## Online Documentation
If you are new, you can start from [Getting Started](https://furiosa-ai.github.io/furiosa-models/latest/getting_started/).
If you are new, you can start from [Getting Started](https://furiosa-ai.github.io/furiosa-models/v0.10.2/getting_started/).
You can also find the latest online documents,
including programming guides, API references, and examples from the following:

* [Furiosa Models - Latest Documentation](https://furiosa-ai.github.io/furiosa-models/latest/)
* [Model Object](https://furiosa-ai.github.io/furiosa-models/latest/model_object/)
* [Model List](https://furiosa-ai.github.io/furiosa-models/latest/#model_list)
* [Command Line Tool](https://furiosa-ai.github.io/furiosa-models/latest/command_line_tool/)
* [Furiosa SDK - Tutorial and Code Examples](https://furiosa-ai.github.io/docs/latest/en/software/tutorials.html)
* [Model Object](https://furiosa-ai.github.io/furiosa-models/v0.10.2/model_object/)
* [Model List](https://furiosa-ai.github.io/furiosa-models/v0.10.2/#model_list)
* [Command Line Tool](https://furiosa-ai.github.io/furiosa-models/v0.10.2/command_line_tool/)
* [Furiosa SDK - Tutorial and Code Examples](https://furiosa-ai.github.io/docs/v0.10.2/en/software/tutorials.html)


## <a name="model_list"></a>Model List
Expand All @@ -34,14 +34,14 @@ you can find details about loading a model, their input and output tensors, pre/

| Model | Task | Size | Accuracy |
| ------------------------------------------------------------------------------------------------- | -------------------- | ---- | ------------------------- |
| [ResNet50](https://furiosa-ai.github.io/furiosa-models/latest/models/resnet50_v1.5/) | Image Classification | 25M | 75.618% (ImageNet1K-val) |
| [EfficientNetB0](https://furiosa-ai.github.io/furiosa-models/latest/models/efficientnet_b0/) | Image Classification | 6.4M | 72.44% (ImageNet1K-val) |
| [EfficientNetV2-S](https://furiosa-ai.github.io/furiosa-models/latest/models/efficientnet_v2_s/) | Image Classification | 26M | 83.532% (ImageNet1K-val) |
| [SSDMobileNet](https://furiosa-ai.github.io/furiosa-models/latest/models/ssd_mobilenet/) | Object Detection | 7.2M | mAP 0.232 (COCO 2017-val) |
| [SSDResNet34](https://furiosa-ai.github.io/furiosa-models/latest/models/ssd_resnet34/) | Object Detection | 20M | mAP 0.220 (COCO 2017-val) |
| [YOLOv5M](https://furiosa-ai.github.io/furiosa-models/latest/models/yolov5m/) | Object Detection | 21M | mAP 0.272 (Bdd100k-val) <sup>[[1]](#footnote_1)</sup> |
| [YOLOv5L](https://furiosa-ai.github.io/furiosa-models/latest/models/yolov5l/) | Object Detection | 46M | mAP 0.284 (Bdd100k-val) <sup>[[1]](#footnote_1)</sup> |
| [YOLOv7w6Pose](https://furiosa-ai.github.io/furiosa-models/latest/models/yolov7_w6_pose/) | Pose Estimation | 80M | N/A |
| [ResNet50](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/resnet50_v1.5/) | Image Classification | 25M | 75.618% (ImageNet1K-val) |
| [EfficientNetB0](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/efficientnet_b0/) | Image Classification | 6.4M | 72.44% (ImageNet1K-val) |
| [EfficientNetV2-S](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/efficientnet_v2_s/) | Image Classification | 26M | 83.532% (ImageNet1K-val) |
| [SSDMobileNet](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/ssd_mobilenet/) | Object Detection | 7.2M | mAP 0.232 (COCO 2017-val) |
| [SSDResNet34](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/ssd_resnet34/) | Object Detection | 20M | mAP 0.220 (COCO 2017-val) |
| [YOLOv5M](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/yolov5m/) | Object Detection | 21M | mAP 0.272 (Bdd100k-val) <sup>[[1]](#footnote_1)</sup> |
| [YOLOv5L](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/yolov5l/) | Object Detection | 46M | mAP 0.284 (Bdd100k-val) <sup>[[1]](#footnote_1)</sup> |
| [YOLOv7w6Pose](https://furiosa-ai.github.io/furiosa-models/v0.10.2/models/yolov7_w6_pose/) | Pose Estimation | 80M | N/A |

_<a name="footnote_1">[1]</a>: The accuracy of the yolov5 f32 model trained with bdd100k-val dataset, is mAP 0.295 (for yolov5m) and mAP 0.316 (for yolov5l)._

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2 changes: 1 addition & 1 deletion furiosa/models/__init__.py
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from . import errors, vision

__version__ = "0.11.0.dev0"
__version__ = "0.10.2"
__all__ = ["errors", "vision"]