📊
Rm26 Engineer Exchange dataset by hkustenterprize
⭐ 59.8
📊
Dataset

Rm26 Engineer Exchange

by hkustenterprize hkustenterprize/rm26_engineer_exchange
Free2AITools Nexus Index
59.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 50
R: Recency 90
Q: Quality 50
Tech Context
Vital Performance —
Source →
Data Integrity 59.8 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hkustenterprize/rm26_engineer_exchange
License CC-BY-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_hkustenterprize_rm26_engineer_exchange,
  author = {hkustenterprize},
  title = {Rm26 Engineer Exchange Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/hkustenterprize/RM26_engineer_exchange}},
  note = {Accessed via Free2AITools.}
}
APA Style
hkustenterprize. (2026). Rm26 Engineer Exchange [Dataset]. Free2AITools. https://huggingface.co/datasets/hkustenterprize/RM26_engineer_exchange

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 50
Recency (R) 90
Quality (Q) 50

💬 Index Insight

FNI V2.0 for Rm26 Engineer Exchange: Authority (A:61), Popularity (P:50), Recency (R:90), 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
⬇️
Downloads
24,065

🎯 Task Categories

object-detection

👁️ Data Preview

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

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🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

dataset_finalversion

RoboMaster 2026 工程机器人 装配柱 (pillar) 与 兑换站 (exchange) 合成图像关键点数据集，Ultralytics YOLO Pose 标注格式。

划分 图像数 标签文件数
train 40,860 40,860
val 4,540 4,540
合计 45,400 45,400

每张图 1 个 .jpg 对应 1 个同名 .txt；约 90% / 10% 划分。

目录结构

text 
dataset_finalversion/
├── dataset.yaml          # 类别、关键点名、flip_idx、kpt_shape
├── README.md
├── images/
│   ├── train/*.jpg
│   └── val/*.jpg
└── labels/
    ├── train/*.txt       # stem 与 images 一致
    └── val/*.txt

标注格式

YOLO Pose 文本行，每行 5 + 12×3 = 41 个数值：

text 
              ...

坐标归一化

字段 范围 反算像素
cx, cy, w, h [0, 1]，相对整图宽高 cx_px = cx × W，w_px = w × W（H 同理）
x, y [0, 1]，相对整图宽高 x_px = x × W，y_px = y × H
v 整数 0 / 1 / 2 不归一化

W、H 为对应 .jpg 的宽、高（本数据集 逐图不同）。

可见性 `v`

值 含义 坐标
0 无效：视野外，或该类不使用的 padding 槽位 固定 0 0 0
1 被遮挡，位置仍标注 有效 x, y
2 可见 有效 x, y

与 COCO v 编码不同；读取时勿当作 COCO 的 {0,1,2} 语义。

双行实例标注

每个装配柱实例占 2 行，描述同一物体的不同部位：

行 class bbox 有效关键点（全局索引） 其余 7 槽
1 0 pillar pillar 外接框 0–4 0 0 0
2 1 exchange exchange 外接框 5–11 0 0 0
  • pillar bbox：L 形标记四角 + ring 的外接矩形
  • exchange bbox：光带四角 + 外壳三点的区域框

类别

class id 名称 说明
0 pillar 装配柱 L 形标记与顶端 ring
1 exchange 兑换站光带与外壳关键点

dataset.yaml 中 kpt_shape: [12, 3]：全局固定 12 个关键点槽位，每槽 (x, y, v)。

关键点 Schema

每个关键点存为 (x, y, v) 三元组，共 12 组；另每行还有 bbox (cx, cy, w, h)。

归一化一览

字段 是否归一化 存储形式 还原方式

Social Proof

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--hkustenterprize--rm26_engineer_exchange
slug
hkustenterprize--rm26_engineer_exchange
source
huggingface
author
hkustenterprize
license
CC-BY-4.0
tags
task_categories:object-detection, language:en, license:cc-by-4.0, size_categories:10k<n<100k, modality:image, modality:text, region:us, robomaster, yolo

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
24,065
stars
null
forks
null

Data indexed from public sources. Updated daily.