🧠
Fruits And Vegetables Detector 36 model by jazzmacedo
⭐ 26.7
🧠
Model

Fruits And Vegetables Detector 36

by jazzmacedo hf-dataset--jazzmacedo--fruits-and-vegetables-detector-36
Nexus Index
26.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 17
R: Recency 1
Q: Quality 65
Tech Context
Vital Performance
363 DL / 30D
0.0%
Source →
Audited 26.7 FNI Score
Tiny - Params
- Context
363 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-dataset--jazzmacedo--fruits-and-vegetables-detector-36
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__jazzmacedo__fruits_and_vegetables_detector_36,
  author = {jazzmacedo},
  title = {Fruits And Vegetables Detector 36 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jazzmacedo/fruits-and-vegetables-detector-36}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
jazzmacedo. (2026). Fruits And Vegetables Detector 36 [Model]. Free2AITools. https://huggingface.co/jazzmacedo/fruits-and-vegetables-detector-36

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download jazzmacedo/fruits-and-vegetables-detector-36
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
26.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 17
Recency (R) 1
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Fruits And Vegetables Detector 36: Semantic (S:50), Authority (A:0), Popularity (P:17), Recency (R:1), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

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363Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--jazzmacedo--fruits-and-vegetables-detector-36
slug
jazzmacedo--fruits-and-vegetables-detector-36
source
huggingface
author
jazzmacedo
license
Apache-2.0
tags
transformers, pytorch, safetensors, resnet, image-classification, vision, generated_from_trainer, en, dataset:imagefolder, base_model:microsoft/resnet-50, base_model:finetune:microsoft/resnet-50, license:apache-2.0, model-index, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
image-classification

📊 Engagement & Metrics

downloads
363
stars
0
forks
0

Data indexed from public sources. Updated daily.