MJRoBot (Marcelo Rovai) / Raspi - Object Detection Public

Target: Raspberry Pi 4 Clone this project

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.

Raspi - Object Detection

Object detection

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (154 items)

View all

00014_jpg.rf.3b5bf26dc572d2726efe4eea7dede4ee

ID: 1211293229

00003_jpg.rf.2274e824a7cd3ee026856a0a79769334

ID: 1211293231

image_20240903-224458_jpg.rf.fc2f8c428081398b0da153017caf1997

ID: 1211293211

00038_jpg.rf.73dccddb231539cbcb852f9c780091ec

ID: 1211293288

00019_jpg.rf.8aaa498a50fc5cb5505a0b35409d7f09

ID: 1211293244

00036_jpg.rf.6446787bf799cc360b63ba89b8bdbdb5

ID: 1211293306

image_20240903-224535_jpg.rf.1a6102bdc6f5a6fc755d41db3296cb67

ID: 1211293317

00010_jpg.rf.8f981745d6f82b9afc49318f16f2c964

ID: 1211293263

Model accuracy, FOMO-MobileNetV2 (Unoptimized (float32))

View 2 other experiments

Validation set

94.4%

Test set

94.4%

On-device performance (Raspberry Pi 4, Quantized (int8))

Latency

9 ms.

Flash usage

90.9K

Run this model

On any device

Clone project

Dataset summary

Data collected

154 items

Labels

0, 1

Project info

Project ID	515477
License	Apache 2.0
No. of views	15,721
No. of clones	33