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deeplabv3plus-resnet50
Kalray/deeplabv3plus-resnet50
deeplabv3plus-resnet50 is a image segmentation model from Kalray. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository stores the model for Deeplabv3plus-resnet50, compatible with Kalray's neural network API. </br Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br
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Public
Updated Oct 29, 2024
Repo size
255 MB
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.onnx207 MB · 81%
At a glance
- Task
- Image Segmentation
- License
- apache-2.0
- Access
- Public
- Created
- Jul 9, 2024
- Updated
- Oct 29, 2024
- SHA
- 429fd0e6
Model card
From the Hugging Face model README
Introduction
This repository stores the model for Deeplabv3plus-resnet50, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Contents
- ONNX: deeplabv3plus-resnet50-s.onnx
- Tensorflow: deeplabv3plus_resnet50.pb
Introduction
This repository stores the model for Deeplabv3plus-mobilenetv2, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Reference links
- github: https://github.com/tensorflow/models/blob/archive/research/deeplab/g3doc/model_zoo.md
- weights: http://download.tensorflow.org/models/resnet_v1_50_2018_05_04.tar.gz
Lecture reference
@inproceedings{deeplabv3plus2018,
title={Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation},
author={Liang-Chieh Chen and Yukun Zhu and George Papandreou and Florian Schroff and Hartwig Adam},
booktitle={ECCV},
year={2018}
}
Author: [email protected]
- Task
- Image Segmentation
- License
- apache-2.0
- Created
- Jul 9, 2024
- Updated
- Oct 29, 2024