Task: Image Classification
License: Apache 2.0
This dataset contains images of fire extinguisher safety pins. This dataset can be used to combine image classification and visual anomaly detection.
Label information:
rot-powder: Pin for ROT powder fire extinguisher - Yellow - manufacturer reference: 06210409F
rot-water: Pin for ROT water spray fire extinguisher - Blue - manufacturer reference: 06210410F
anomaly: Other fire extinguisher safety pins
Feature extraction: Image
Learning block: Transfer Learning (Images), NVIDIA TAO, Classification
Not sure what to choose? Try out this dataset with the EON Tuner.
Total Data Items: 264
Labeling Method: single label
Train/Test Split: 79.92% / 20.08%
Clone the public project.
To clone and use this project, visit the Edge Impulse Studio link, click on the Clone button on the top-right corner and follow the cloning instructions.
Download
HuggingFace - Soon
Kaggle - Soon
Import this dataset to your Edge Impulse project
This project uses the Edge Impulse Exporter Format (info.labels). See this documentation page for more info.
Edge Impulse also supports different data sample formats and dataset annotation formats that you can import into your project to build your edge AI models:
Upload portals (Enterprise feature)
If you use this dataset in your research paper, please cite it using the following BibTeX:
Task: Image Classification
License:
This dataset has been collected by Edge Impulse teams and contains images taken from a smartphone using the NATIONAL GEOGRAPHIC 40x-1280x Microscope.
Total Data Items: 246
Labeling Method: single label
Train/Test Split: 81.30% / 18.70%
Download
HuggingFace - Soon
Kaggle - Soon
Import this dataset to your Edge Impulse project
If you use this dataset in your research paper, please cite it using the following BibTeX:
Feature extraction:
Learning block: , ,
Not sure what to choose? Try out this dataset with the .
Clone the .
To clone and use this project, visit the , click on the Clone button on the top-right corner and follow the cloning instructions.
This project uses the Edge Impulse Exporter Format (info.labels). See this for more info.
Edge Impulse also supports different and that you can import into your project to build your edge AI models:
(Enterprise feature)
Training Set
Testing Set
Total Data Items
211
53
Labels
anomaly, rot-powder, rot-water
anomaly, rot-powder, rot-water
Training Set | Testing Set |
Total Data Items | 200 | 46 |
Labels | cotton stem, epidermis onion, housefly leg, unknown, wood stem | cotton stem, epidermis onion, housefly leg, unknown, wood stem |
