πŸ“Š
Fruit Freshness Classification (Fresh vs Rotten) dataset by abdulrafeyyashir
⭐ 29.5
πŸ“Š
Dataset

Fruit Freshness Classification (Fresh vs Rotten)

by abdulrafeyyashir abdulrafeyyashir/fresh-vs-rotten-fruit-images
Free2AITools Nexus Index
29.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 44
R: Recency 32
Q: Quality 30
Tech Context
Vital Performance —
Source β†’
Data Integrity 29.5 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID abdulrafeyyashir/fresh-vs-rotten-fruit-images
License Apache 2.0
Provider kaggle
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_abdulrafeyyashir_fresh_vs_rotten_fruit_images,
  author = {abdulrafeyyashir},
  title = {Fruit Freshness Classification (Fresh vs Rotten) Dataset},
  year = {2026},
  howpublished = {\url{https://www.kaggle.com/datasets/abdulrafeyyashir/fresh-vs-rotten-fruit-images}},
  note = {Accessed via Free2AITools.}
}
APA Style
abdulrafeyyashir. (2026). Fruit Freshness Classification (Fresh vs Rotten) [Dataset]. Free2AITools. https://www.kaggle.com/datasets/abdulrafeyyashir/fresh-vs-rotten-fruit-images

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 52
Popularity (P) 44
Recency (R) 32
Quality (Q) 30

πŸ’¬ Index Insight

FNI V2.0 for Fruit Freshness Classification (Fresh vs Rotten): Authority (A:52), Popularity (P:44), Recency (R:32), Quality (Q:30). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
⬇️
Downloads
2,599

πŸ‘οΈ Data Preview

πŸ“Š

Row-level preview not available for this dataset.

Schema structure is shown in the Field Logic panel when available.

πŸ”— Explore Full Dataset β†—

🧬 Field Logic

🧬

Schema not yet indexed for this dataset.

Dataset Specification

Binary Image Dataset for Fruit Freshness Detection and Quality Assessment

Social Proof

HuggingFace Hub
2.6KDownloads
Hub Discussions
πŸ“Š Data Source: Kaggle β†—
πŸ”„ Updated daily

Source summary: Based on Kaggle metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--abdulrafeyyashir--fresh-vs-rotten-fruit-images
slug
abdulrafeyyashir--fresh-vs-rotten-fruit-images
source
kaggle
author
abdulrafeyyashir
license
Apache 2.0
tags
[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
2,599
stars
0
forks
0

Data indexed from public sources. Updated daily.