| SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition,arXiv | 您所在的位置：网站首页 › simpledet › SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition,arXiv |
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition,arXiv
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Object detection and instance recognition play a central role in many AI
applications like autonomous driving, video surveillance and medical image
analysis. However, training object detection models on large scale datasets
remains computationally expensive and time consuming. This paper presents an
efficient and open source object detection framework called SimpleDet which
enables the training of state-of-the-art detection models on consumer grade
hardware at large scale. SimpleDet supports up-to-date detection models with
best practice. SimpleDet also supports distributed training with near linear
scaling out of box. Codes, examples and documents of SimpleDet can be found at
https://github.com/tusimple/simpledet .
中文翻译：
目标检测和实例识别在自动驾驶、视频监控和医学图像分析等许多人工智能应用中发挥着核心作用。然而，在大规模数据集上训练对象检测模型仍然计算昂贵且耗时。本文提出了一种名为 SimpleDet 的高效开源对象检测框架，该框架能够在消费级硬件上大规模训练最先进的检测模型。SimpleDet 支持具有最佳实践的最新检测模型。SimpleDet 还支持具有开箱即用的近线性扩展的分布式训练。SimpleDet 的代码、示例和文档可以在 https://github.com/tusimple/simpledet 找到。 |
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