| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - detection-datasets/coco |
| | pipeline_tag: object-detection |
| | --- |
| | |
| | # Introduction |
| |
|
| | This repository stores the model for SSD-Resnet34 from MLPerf, compatible with Kalray's neural network API. </br> |
| | Please see www.github.com/kalray/kann-model-zoo for details and proper usage [WIKI](https://github.com/kalray/kann-model-zoo/wiki). </br> |
| |
|
| | # Contents |
| |
|
| | - ONNX: ssd-resnet34.optimized.onnx (converted from tensorflow) |
| | - Tensorflow: ssd-resnet34.pb |
| |
|
| | # Lecture note reference |
| |
|
| | - Speed/accuracy trade-offs for modern convolutional object detectors, https://arxiv.org/pdf/1611.10012 |
| |
|
| | # Repository or links references |
| |
|
| | - [Link to download](https://zenodo.org/record/3345892/files/tf_ssd_resnet34_22.1.zip?download=1) |
| | - https://github.com/mlcommons/inference/tree/r0.5/v0.5/classification_and_detection |
| |
|
| | Authors: |
| | + Quentin Muller, <qmuller@kalrayinc.com> |
| |
|
