📊
PersonDataset dataset by jibingyang111
⭐ 29.2
📊
Dataset

PersonDataset

by jibingyang111 hf-dataset--jibingyang111--persondataset
Nexus Index
29.2 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 49
R: Recency 44
Q: Quality 30
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 29.2 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--jibingyang111--persondataset
License Apache-2.0
Provider huggingface
📜

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__jibingyang111__persondataset,
  author = {jibingyang111},
  title = {PersonDataset Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/jibingyang111/persondataset}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
jibingyang111. (2026). PersonDataset [Dataset]. Free2AITools. https://huggingface.co/datasets/jibingyang111/persondataset

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
29.2
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 49
Recency (R) 44
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for PersonDataset: Semantic (S:50), Authority (A:0), Popularity (P:49), Recency (R:44), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Downloads
20,181

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

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Schema not yet indexed for this dataset.

Dataset Specification

Dataset Introduction

Dataset Name:PersonDataset

This dataset is a synthetic dataset created using the Unity engine, specifically designed for depth estimation tasks in dense crowd scenarios. It includes left and right images, as well as the ground truth depth maps for the left images. The simulated camera first captures the left image from the left position, then moves one meter horizontally to the right to capture the right image. The camera's focal length is 600 pixels. Depth maps can be converted into disparity maps using the formula disp = (focal length × 1) / depth. The training to testing set ratio is 8:2, with a total of 8,000 image sets. Each set contains a left image, a right image, and the ground truth depth map corresponding to the left image. The resolution of each image is 906 × 415.

📊 Structured Schema (Zero-Fabrication)

Feature Key Data Type
image Image
label ClassLabel

Estimated Rows: 24,000

Social Proof

HuggingFace Hub
20.2KDownloads
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¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--jibingyang111--persondataset
slug
jibingyang111--persondataset
source
huggingface
author
jibingyang111
license
Apache-2.0
tags
license:apache-2.0, size_categories:10k<n<100k, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
20,181
stars
0
forks
0

Data indexed from public sources. Updated daily.