Everything related to this project started from the following paper: Speed/accuracy trade-offs for modern convolutional object detectors(https://arxiv.org/abs/1611.10012) by Huang J, Rathod V, Sun C, Zhu M, Korattikara A, Fathi A, Fischer I, Wojna Z, Song Y, Guadarrama S, Murphy K, CVPR 2017. Concluding this chapter, we have to thank all the contributors of the TensorFlow object detection API for their great job programming the API and making it open-source and thus free and accessible to anyone: Jonathan Huang, Vivek Rathod, Derek Chow, Chen Sun, Menglong Zhu, Matthew Tang, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Jasper Uijlings, Viacheslav Kovalevskyi, Kevin Murphy. We also cannot forget to thank Dat Tran for his inspirational posts on medium of two MIT licensed projects on how to use the TensorFlow object...
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