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README.md
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# FFNet-54S: Optimized for Mobile Deployment
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## Semantic segmentation for automotive street scenes
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FFNet-54S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
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This model is an implementation of
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This repository provides scripts to run FFNet-54S on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/ffnet_54s).
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# FFNet-54S: Optimized for Mobile Deployment
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## Semantic segmentation for automotive street scenes
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FFNet-54S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/Qualcomm-AI-research/FFNet).
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This repository provides scripts to run FFNet-54S on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/ffnet_54s).
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