Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Person Detection
Model for adversarial patterns testing
About this project
Person Detection using Object Detection Transfer learning
Person detection project trained on a subset of the MS COCO 2017.
Key info
- Sensor type: Camera
- DSP block type: Image processing, RGB, resize 320x320, squash
- Learning block type: MobileNetV2 SSD FPN-Lite
Overview
For this project, we are using the Object Detection training block which fine tunes a pre-trained object detection model on your data. It gives a good performance even with relatively small image datasets. This object detection learning block relies on MobileNetV2 SSD FPN-Lite 320x320.
Run this model
Scan QR code or launch in browser
Dataset summary
Data collected
182 itemsLabels
personProject info
| Project ID | 1142565 |
| License | 3-Clause BSD |
| No. of views | 186 |
| No. of clones | 0 |