Peter Ing / Object Detection FOMO Public

Target: Cortex-M4F 80MHz 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.

Object Detection FOMO

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 (356 items)

View all

IMG_20220211_152736.jpg.2rkcf5ki.ingestion-cc4d66496-lvpgn.jpg.2rmbbssg.ingestion-cc4d66496-7qjrh.jpg.2rmvg4q4

ID: 99340325

IMG_20220214_081134.jpg.2rper4k4

ID: 99340209

IMG_20210629_193930.jpg.2rmb60g4.ingestion-cc4d66496-7qjrh.jpg.2rmvg3uu

ID: 99340366

IMG_20220211_152142.jpg.2rkcf843.ingestion-cc4d66496-8p56s.jpg.2rmbbrti.ingestion-cc4d66496-7qjrh.jpg.2rmvg44k

ID: 99340356

IMG_20220214_080819.jpg.2rper2uh

ID: 99340224

IMG_20220211_152534.jpg.2rkcf50k.ingestion-cc4d66496-lvpgn.jpg.2rmbbsdm.ingestion-cc4d66496-7qjrh.jpg.2rmvg4g6

ID: 99340339

IMG_20220213_102444.jpg.2rmb61he.ingestion-cc4d66496-8p56s.jpg.2rmvg6od

ID: 99340256

IMG_20220211_152448.jpg.2rkcf4g1.ingestion-cc4d66496-7qjrh.jpg.2rmbbsd7.ingestion-cc4d66496-lvpgn.jpg.2rmvg4fb

ID: 99340338

Model accuracy (Unoptimized (float32))

Validation set

71.4%

Test set

58.3%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

822 ms.

Peak RAM usage

627.1K

Flash usage

63.8K

Run this model

On any device

Clone project

Dataset summary

Data collected

356 items

Labels

bolt, nut, washer

Project info

Project ID	26544
Project version	1
License	No license attached
No. of views	7,407
No. of clones	9