GitHub - rajatsc/MobileNet-SSD-Kitti: Real time mobile video object detection using MobileNet-SSD trained on KITTI dataset in Tensorflow
A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices
![PDF] Real Time Detection of Surface Defects with Inception-Based MobileNet- SSD Detection Network | Semantic Scholar PDF] Real Time Detection of Surface Defects with Inception-Based MobileNet- SSD Detection Network | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/773fd2cc286a31ae1f1d125f0ce1f87e2b2f1b78/3-Figure1-1.png)
PDF] Real Time Detection of Surface Defects with Inception-Based MobileNet- SSD Detection Network | Semantic Scholar
![Realtime human pose recognition through computer vision - Using TensorFlow and PoseNet on a video feed Realtime human pose recognition through computer vision - Using TensorFlow and PoseNet on a video feed](https://willem.com/blog/2019-12-01_realtime-human-pose-recognition-through-computer-vision/images/i_02_MobileNet-SSD-algorithm-image-hey-yahei-cn_500px.jpg)
Realtime human pose recognition through computer vision - Using TensorFlow and PoseNet on a video feed
![Figure 6 from CS341 Final Report: Towards Real-time Detection and Camera Triggering | Semantic Scholar Figure 6 from CS341 Final Report: Towards Real-time Detection and Camera Triggering | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/01b527641d1f23cddac932d9fe20b44ec39114a3/7-Figure6-1.png)
Figure 6 from CS341 Final Report: Towards Real-time Detection and Camera Triggering | Semantic Scholar
![Object Detection : A Comparison of performance of Deep learning Models on Edge Using Intel Movidius Neural Compute Stick and Raspberry PI3 | by Tejas Narayan | Intel Student Ambassadors | Medium Object Detection : A Comparison of performance of Deep learning Models on Edge Using Intel Movidius Neural Compute Stick and Raspberry PI3 | by Tejas Narayan | Intel Student Ambassadors | Medium](https://miro.medium.com/proxy/1*DFe3GKQOOHC4oF6jWLoYhw.png)
Object Detection : A Comparison of performance of Deep learning Models on Edge Using Intel Movidius Neural Compute Stick and Raspberry PI3 | by Tejas Narayan | Intel Student Ambassadors | Medium
![An automatic traffic density estimation using Single Shot Detection (SSD) and MobileNet-SSD - ScienceDirect An automatic traffic density estimation using Single Shot Detection (SSD) and MobileNet-SSD - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1474706518302389-gr1.jpg)
An automatic traffic density estimation using Single Shot Detection (SSD) and MobileNet-SSD - ScienceDirect
![The network architecture of the MobileNet Single Shot Multibox Detector... | Download Scientific Diagram The network architecture of the MobileNet Single Shot Multibox Detector... | Download Scientific Diagram](https://www.researchgate.net/publication/342994911/figure/fig5/AS:914105309356032@1594951097955/The-network-architecture-of-the-MobileNet-Single-Shot-Multibox-Detector-SSD.png)
The network architecture of the MobileNet Single Shot Multibox Detector... | Download Scientific Diagram
![MobilenetSSD : A Machine Learning Model for Fast Object Detection | by David Cochard | axinc-ai | Medium MobilenetSSD : A Machine Learning Model for Fast Object Detection | by David Cochard | axinc-ai | Medium](https://miro.medium.com/max/1400/1*oxjhV1YM9fAlAJvLAkAgxQ.png)
MobilenetSSD : A Machine Learning Model for Fast Object Detection | by David Cochard | axinc-ai | Medium
![Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science](https://miro.medium.com/max/557/1*Sl3ezGZWzZbizy937Qq5tA.png)