--- license: apache-2.0 datasets: - detection-datasets/coco pipeline_tag: object-detection --- # Introduction This repository stores the model for Faster-RCNN (ResNext50), compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-model-zoo for details and proper usage [WIKI](https://github.com/kalray/kann-model-zoo/wiki).
# Contents - ONNX: retinanet-resnext50-fpn-800.onnx # Lecture note reference - Focal Loss for Dense Object Detection, https://arxiv.org/abs/1708.02002 # Repository or links references - [Link to Download](https://zenodo.org/record/6617879/files/resnext50_32x4d_fpn.onnx) ```bibtex Kiswani, A., & Gonzalez, P. (2022). Trained Model for retinanet_resnext50_32x4d_fpn ONNX for MLPerf Inference (MLPerf v2.1 inference). Zenodo. https://doi.org/10.5281/zenodo.6617879 ``` Authors: + qmuller@kalrayinc.com