🧠
Smoke Cigarette Detection model by Beehzod
⭐ 37.5
🧠
Model

Smoke Cigarette Detection

by Beehzod beehzod/smoke_cigarette-detection
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 99
Q: Quality 50
Tech Context
Vital Performance
32 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
32 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID beehzod/smoke_cigarette-detection
License MIT
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{beehzod_smoke_cigarette_detection,
  author = {Beehzod},
  title = {Smoke Cigarette Detection Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Beehzod/smoke_cigarette-detection}},
  note = {Accessed via Free2AITools.}
}
APA Style
Beehzod. (2026). Smoke Cigarette Detection [Model]. Free2AITools. https://huggingface.co/Beehzod/smoke_cigarette-detection

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download beehzod/smoke_cigarette-detection

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 3
Recency (R) 99
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Smoke Cigarette Detection: Authority (A:0), Popularity (P:3), Recency (R:99), Quality (Q:50). 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
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Technical Deep Dive

⚠️ Incomplete Data

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

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
32Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

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

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--beehzod--smoke_cigarette-detection
slug
beehzod--smoke_cigarette-detection
source
huggingface
author
Beehzod
license
MIT
tags
ultralytics, yolo, smoking-detection, cigarette-detection, object-detection, base_model:beehzod/smoking-detection-finetuned, license:mit, model-index, region:us

βš™οΈ Technical Specs

pipeline tag
object-detection

πŸ“Š Engagement & Metrics

downloads
32

Data indexed from public sources. Updated daily.