🧠
Teledyne FLIR ADAS Thermal Dataset v2 model by samdazel
⭐ 28.7
🧠
Model

Teledyne FLIR ADAS Thermal Dataset v2

by samdazel hf-dataset--samdazel--teledyne-flir-adas-thermal-dataset-v2
Nexus Index
28.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 53
R: Recency 47
Q: Quality 30
Tech Context
Vital Performance
1.9K DL / 30D
0.0%
Audited 28.7 FNI Score
Tiny - Params
- Context
1.9K Downloads
Restricted OTHER (SPECIFIED IN DESCRIPTION) License
Model Information Summary
Entity Passport
Registry ID hf-dataset--samdazel--teledyne-flir-adas-thermal-dataset-v2
License Other (specified in description)
Provider kaggle
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__samdazel__teledyne_flir_adas_thermal_dataset_v2,
  author = {samdazel},
  title = {Teledyne FLIR ADAS Thermal Dataset v2 Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/hf-dataset--samdazel--teledyne-flir-adas-thermal-dataset-v2}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
samdazel. (2026). Teledyne FLIR ADAS Thermal Dataset v2 [Model]. Free2AITools. https://free2aitools.com/model/hf-dataset--samdazel--teledyne-flir-adas-thermal-dataset-v2

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download samdazel/teledyne-flir-adas-thermal-dataset-v2
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
28.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 53
Recency (R) 47
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Teledyne FLIR ADAS Thermal Dataset v2: Semantic (S:50), Authority (A:0), Popularity (P:53), Recency (R:47), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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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.

📝 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.

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1.9KDownloads
📊 Data Source: Kaggle ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Kaggle 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--samdazel--teledyne-flir-adas-thermal-dataset-v2
slug
samdazel--teledyne-flir-adas-thermal-dataset-v2
source
kaggle
author
samdazel
license
Other (specified in description)
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

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
1,931
stars
4
forks
0

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