Introduction

This repository stores the model for RetinaNet (ResNet50), compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.

ONNX: retinanet-resnet50-fpn-512.onnx

Lecture note reference

Focal Loss for Dense Object Detection, https://arxiv.org/abs/1708.02002

Repository or links references

https://github.com/NVIDIA/retinanet-examples/blob/0aba7724e42f5b654d8171a6cac8b54e07fb8206/retinanet/model.py

Authors:

qmuller@kalrayinc.com

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

Object Detection

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no library tag.

Dataset used to train Kalray/retinanet-resnet50

Collection including Kalray/retinanet-resnet50

Convolutional Neural Networks (CNNs) - object detection

Collection

Some convolution neural networks supported by kaNN. Task is object detection. See https://github.com/kalray/kann-model-zoo/WIKI.md for more details. • 32 items • Updated 15 days ago

Kalray
/

retinanet-resnet50