chestnut - LARVIC
Donated on 5/29/2017
The research project presents this database, shows the images of chestnuts that will be processed to determine the presence or absence of defects
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
1451
# Features
3
Dataset Information
Additional Information
Type Defect Classification ----------- -------------- No chestnut -1 Flawless 1 Eyes 2 Chipped 3 Rancid 4 Stained 4 Husk 5 Number of images: Class Examples ----- -------- 1 258 2 250 3 240 4 503 5 200 ----- ---- Total 1451
Has Missing Values?
No
Variable Information
numImg: Input image number numLine: Production line number Classification: Classification to which the image belongs
Dataset Files
| File | Size |
|---|---|
| data base_chestnut.txt | 800 Bytes |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset chestnut_larvic = fetch_ucirepo(id=403) # data (as pandas dataframes) X = chestnut_larvic.data.features y = chestnut_larvic.data.targets # metadata print(chestnut_larvic.metadata) # variable information print(chestnut_larvic.variables)
chestnut - LARVIC [Dataset]. (2014). UCI Machine Learning Repository. https://doi.org/10.24432/C59P5G.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.