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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
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
On any device
Dataset summary
Data collected
182 itemsLabels
personProject info
| Project ID | 40479 |
| Project version | 11 |
| License | BSD 3-Clause Clear |
| No. of views | 40,939 |
| No. of clones | 924 |