  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 .

Computer Vision and Pattern Recognition;Machine Learning