![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/938/1*ylHiMKAXb57bN7uDhzldlg.png)
Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science
![MobileNet SSD object detection using the Intel Neural Compute Stick 2 and a Raspberry Pi – rt-ispace MobileNet SSD object detection using the Intel Neural Compute Stick 2 and a Raspberry Pi – rt-ispace](https://rtaiml.files.wordpress.com/2019/07/pissd2.png)
MobileNet SSD object detection using the Intel Neural Compute Stick 2 and a Raspberry Pi – rt-ispace
Recognition of Various Objects from a Certain Categorical Set in Real Time Using Deep Convolutional Neural Networks
![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
A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices
![Object detection in office: YOLO vs SSD Mobilenet vs Faster RCNN NAS COCO vs Faster RCNN Open Images - YouTube Object detection in office: YOLO vs SSD Mobilenet vs Faster RCNN NAS COCO vs Faster RCNN Open Images - YouTube](https://i.ytimg.com/vi/llBhBSgoWPs/maxresdefault.jpg)