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PersonDataset dataset by jibingyang111
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Dataset

PersonDataset

by jibingyang111 hf-dataset--jibingyang111--persondataset
Nexus Index
41.0 Top 0%
S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%

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 dispari...

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Data Integrity 41 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID hf-dataset--jibingyang111--persondataset
Provider huggingface
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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

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⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
41.0
ESTIMATED IMPACT TIER
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

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

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Downloads
20,181

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Dataset Specification

license: apache-2.0

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.

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Social Proof

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20.2KDownloads
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🆔 Identity & Source

id
hf-dataset--jibingyang111--persondataset
source
huggingface
author
jibingyang111
tags
license:apache-2.0size_categories:10kformat:imagefoldermodality:imagelibrary:datasetslibrary:mlcroissantregion:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null

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downloads
20,181

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