image
imagewidth (px)
48
500
label
class label
7 classes
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
0Bent-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
1Straight-liftarm
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
2axle-stoppers-connectors
3axles
3axles
3axles
3axles
3axles
3axles
3axles
3axles
3axles
3axles
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
4gears-and-disc
5pins
5pins
5pins
5pins
5pins
5pins
5pins
5pins
5pins
5pins
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector
6special-connector

Dataset Card for Dataset Name

Database for lego sorter model uploaded

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

Sample database for the my lego sorter model uploaded
Contains both sample images from each class as well as a numpy array file (.npy) that contains every image (~6000) used to train the model. The numpy file was created so that the dataset could be loaded into Google Collab.

  • Curated by: Aveek Goswami, Amos Koh

Dataset Sources

Uses

Dataset may be used to train any machine learning model.

Direct Use

Best use for this dataset is to train a model with similar architecture to the lego sorter model I uploaded. Dataset images designed to be classified into 7 distinct lego technic classes

Dataset Structure

database-sample contains 7 folders, each containing images from different categories of lego technic pieces.
A .npy file is also uploaded, which has a shape of (5953,2), which means 5953 entries, with each entry containing the full image as one data point and the category label as the other data point.

Source Data

Data Collection and Processing

All images were not processed, they were stored as the original image both in the folders and the numpy array. Image processing occurs in the odel training script uploaded as part of the lego sorter model repo

Recommendations

All images were taken under constant lighting conditions with a raspberry PiCamera 2, which limited the quality of the images obtained.

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