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  1. README.md +149 -190
  2. data/HSR0015/HSR0015-Body-009/metadata/person_meta.json +21 -1
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README.md CHANGED
@@ -1,17 +1,49 @@
1
- # HSR100_10by10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
3
  # HSR100_10by10: High-Quality 3D Human Scan Dataset
4
 
5
-
6
- ## Dataset Overview
7
-
8
 
9
  **HSR100_10by10** is a comprehensive 3D human scan dataset featuring 100 high-quality poses from 10 diverse individuals. This dataset provides a balanced representation of human demographics and poses, making it ideal for computer vision, machine learning, and 3D modeling applications.
10
 
 
11
 
12
- ## Dataset Statistics
13
-
 
 
14
 
 
15
  - **Total Poses**: 100
16
  - **Unique Individuals**: 10
17
  - **Poses per Person**: 10
@@ -23,46 +55,102 @@
23
  - Hispanic: 20%
24
  - Asian: 20%
25
 
 
26
 
27
- ## Pose Diversity
28
-
29
-
30
- The dataset includes a wide variety of natural human poses:
31
-
32
-
33
- ### Primary Poses
34
- - **Standing** (53 poses): Various standing positions including relaxed, formal, and casual stances
35
- - **Walking** (28 poses): Natural walking movements and gait variations
36
- - **Hand in pocket** (8 poses): Casual poses with hands in pockets
37
- - **Crossed Arms** (4 poses): Defensive and casual arm positions
38
- - **Hands on hips** (2 poses): Confident and assertive stances
39
-
40
-
41
- ### Activities Captured
42
- - Relaxed standing (16 poses)
43
- - Mobile phone interactions (25 poses): Looking at, texting, and talking on mobile phones
44
- - Walking and movement (9 poses)
45
- - Photography activities (12 poses): Taking photos and selfies
46
- - Carrying objects (14 poses): Suitcases, bags, and other items
47
- - Pointing and gesturing (4 poses)
48
-
49
-
50
- ## Clothing and Style Diversity
51
-
52
-
53
- The dataset features diverse clothing styles:
54
- - **Casual wear** (77 poses): Everyday clothing including jeans, t-shirts, hoodies
55
- - **Outerwear** (15 poses): Jackets, coats, and seasonal clothing
56
- - **Business casual** (2 poses): Professional attire
57
- - **Formal wear** (2 poses): Suits and formal clothing
58
- - **Activewear** (2 poses): Sports and exercise clothing
59
- - **Swimwear** (1 pose): Beach and pool attire
60
- - **Sportswear** (1 pose): Athletic clothing
61
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62
 
63
  ## Technical Specifications
64
 
65
-
66
  ### 3D Model Quality
67
  - **Format**: OBJ (Wavefront OBJ)
68
  - **Average Polycount**: 5,000,000 polygons per model
@@ -70,77 +158,7 @@ The dataset features diverse clothing styles:
70
  - **Texture Resolution**: 16,384 pixels (4K+ resolution)
71
  - **File Structure**: Organized by Person ID and Pose ID
72
 
73
-
74
  ### File Organization
75
- Each pose includes multiple LOD (Level of Detail) versions:
76
- - **Scan**: High-resolution original scan
77
- - **LOD0**: Highest quality mesh
78
- - **LOD1**: Medium quality mesh
79
- - **LOD2**: Lower quality mesh for performance
80
- - **RealityCapture**: Source photogrammetry data
81
- - **Images**: Source photographs used for scanning
82
-
83
-
84
- ## Demographic Representation
85
-
86
-
87
- ### Age Distribution
88
- - **21-30**: Young adults
89
- - **31-40**: Early middle age
90
- - **41-50**: Middle age
91
- - **51-64**: Mature adults
92
-
93
-
94
- ### Body Types
95
- - Various body types represented including different heights, weights, and builds
96
- - Height range: 164-180 cm
97
- - Weight range: 78-92 kg (for visible samples)
98
-
99
-
100
- ### Physical Characteristics
101
- - **Hair**: Multiple colors and styles (blonde, gray, various browns)
102
- - **Skin Types**: Diverse skin tones and conditions
103
- - **Accessories**: Glasses, jewelry, watches, and other personal items
104
- - **Facial Features**: Different eye colors, expressions, and facial characteristics
105
-
106
-
107
- ## Use Cases
108
-
109
-
110
- This dataset is ideal for:
111
-
112
-
113
- ### Computer Vision
114
- - Human pose estimation
115
- - Activity recognition
116
- - Gesture analysis
117
- - Mobile phone interaction studies
118
-
119
-
120
- ### Machine Learning
121
- - Training pose classification models
122
- - Demographic analysis
123
- - Clothing recognition
124
- - Human behavior modeling
125
-
126
-
127
- ### 3D Graphics and Animation
128
- - Character modeling
129
- - Pose library creation
130
- - Animation reference
131
- - Virtual human generation
132
-
133
-
134
- ### Research Applications
135
- - Human-computer interaction
136
- - Behavioral studies
137
- - Demographic research
138
- - Accessibility and inclusive design
139
-
140
-
141
- ## Dataset Structure
142
-
143
-
144
  ```
145
  HSR100_10by10/
146
  ├── manifest/
@@ -152,101 +170,42 @@ HSR100_10by10/
152
  └── data/ # 3D model files
153
  └── {PersonID}/{PoseID}/
154
  ├── {PoseID}-Scan.zip
155
- ├── {PoseID}-LOD0.zip
156
- ├── {PoseID}-LOD1.zip
157
- ├── {PoseID}-LOD2.zip
158
  ├── {PoseID}-RealityCapture.zip
159
- └── {PoseID}-Images.zip
160
  ```
161
 
162
-
163
- ## Quality Assurance
164
-
165
-
166
- - All models are professionally scanned using high-end 3D scanning equipment
167
- - Consistent lighting and capture conditions
168
- - Professional post-processing and optimization
169
- - Multiple quality levels for different use cases
170
- - Comprehensive metadata for each pose and person
171
-
172
-
173
- ## Licensing
174
-
175
-
176
- This dataset is provided for research and commercial use. Please refer to the license terms for specific usage rights and restrictions.
177
-
178
-
179
  ## Citation
180
 
181
-
182
- If you use this dataset in your research, please cite:
183
-
184
-
185
  ```bibtex
186
  @dataset{hsr100_10by10_2025,
187
  title={HSR100_10by10: High-Quality 3D Human Scan Dataset},
188
  author={DigitalRealityLab},
189
  year={2025},
190
- url={https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10}
 
191
  }
192
  ```
193
 
 
194
 
195
- ## Contact
196
 
 
 
 
 
 
 
 
 
197
 
198
- For questions about this dataset, please contact DigitalRealityLab or open an issue in the repository.
199
 
 
200
 
201
  ---
202
 
203
-
204
- *This dataset represents a carefully curated collection of 3D human scans designed to support diverse research and development needs in computer vision, machine learning, and 3D graphics.*
205
-
206
-
207
-
208
- ## Dataset Structure
209
-
210
- This dataset contains 3D human scan models with the following structure:
211
-
212
- ```
213
- data/
214
- ├── {PersonID}/
215
- │ └── {PoseID}/
216
- │ ├── scans/
217
- │ │ ├── {PoseID}-Scan.zip
218
- │ │ ├── {PoseID}-LOD0.zip
219
- │ │ ├── {PoseID}-LOD1.zip
220
- │ │ └── {PoseID}-LOD2.zip
221
- │ ├── source/
222
- │ │ ├── {PoseID}-RealityCapture.zip
223
- │ │ └── {PoseID}-Images.zip
224
- │ └── metadata/
225
- │ ├── person_meta.json
226
- │ └── pose_meta.json
227
- ```
228
-
229
- ## Usage
230
-
231
- This dataset can be used for:
232
- - 3D human modeling research
233
- - Machine learning model training
234
- - Computer vision applications
235
- - Animation and game development
236
-
237
- ## License
238
-
239
- Commercial License - See individual model files for specific licensing terms.
240
-
241
- ## Citation
242
-
243
- If you use this dataset in your research, please cite:
244
-
245
- ```bibtex
246
- @dataset{hsr_sample_dataset,
247
- title={HSR100_10by10},
248
- author={HSR Team},
249
- year={2025},
250
- url={https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10}
251
- }
252
- ```
 
1
+ ---
2
+ license: "cc-by-4.0"
3
+ task_categories:
4
+ - 3d-modeling
5
+ - computer-vision
6
+ - pose-estimation
7
+ - human-pose-estimation
8
+ - image-classification
9
+ language:
10
+ - en
11
+ tags:
12
+ - 3d-models
13
+ - human-scans
14
+ - poses
15
+ - computer-vision
16
+ - machine-learning
17
+ - 3d
18
+ - human-pose
19
+ - demographics
20
+ - photogrammetry
21
+ - reality-capture
22
+ size_categories:
23
+ - 1K<n<10K
24
+ configs:
25
+ - config_name: default
26
+ data_files:
27
+ manifest/persons.jsonl
28
+ manifest/poses.jsonl
29
+ manifest/files.parquet
30
+ pretty_name: "HSR100_10by10: High-Quality 3D Human Scan Dataset"
31
+ ---
32
 
33
  # HSR100_10by10: High-Quality 3D Human Scan Dataset
34
 
35
+ ## Dataset Summary
 
 
36
 
37
  **HSR100_10by10** is a comprehensive 3D human scan dataset featuring 100 high-quality poses from 10 diverse individuals. This dataset provides a balanced representation of human demographics and poses, making it ideal for computer vision, machine learning, and 3D modeling applications.
38
 
39
+ ## Dataset Details
40
 
41
+ ### Dataset Description
42
+ - **Homepage**: [https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10](https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10)
43
+ - **Repository**: [digitalrealitylab/HSR100_10by10](https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10)
44
+ - **Point of Contact**: DigitalRealityLab
45
 
46
+ ### Dataset Statistics
47
  - **Total Poses**: 100
48
  - **Unique Individuals**: 10
49
  - **Poses per Person**: 10
 
55
  - Hispanic: 20%
56
  - Asian: 20%
57
 
58
+ ## Dataset Structure
59
 
60
+ ### Data Instances
61
+ Each data instance contains:
62
+ - **3D Model Files**: Multiple LOD (Level of Detail) versions
63
+ - `{PoseID}-Scan.zip`: High-resolution original scan
64
+ - `{PoseID}-Scan-LOD0.zip`: Highest quality mesh
65
+ - `{PoseID}-Scan-LOD1.zip`: Medium quality mesh
66
+ - `{PoseID}-Scan-LOD2.zip`: Lower quality mesh for performance
67
+ - **Source Files**:
68
+ - `{PoseID}-RealityCapture.zip`: Source photogrammetry data
69
+ - `{PoseID}-Photos.zip`: Source photographs used for scanning
70
+ - **Metadata Files**:
71
+ - `person_meta.json`: Individual demographic information
72
+ - `pose_meta.json`: Pose-specific metadata
73
+ - **Preview Images**:
74
+ - `cover.jpg`: Beauty image for dataset browsing
75
+
76
+ ### Data Fields
77
+ - **Person ID**: Unique identifier for each individual
78
+ - **Pose ID**: Unique identifier for each pose
79
+ - **Demographics**: Age, sex, ethnicity, height, weight
80
+ - **Pose Information**: Pose type, activity, clothing style
81
+ - **Technical Data**: File paths, scan parameters, quality metrics
82
+
83
+ ### Data Splits
84
+ The dataset is organized by person and pose:
85
+ - **Person-based organization**: 10 individuals with 10 poses each
86
+ - **Pose diversity**: Various standing, walking, and activity poses
87
+ - **Clothing variety**: Casual, business, formal, and activewear
88
+
89
+ ## Dataset Creation
90
+
91
+ ### Curation Rationale
92
+ This dataset was created to provide a balanced representation of human diversity in 3D scanning applications. The selection criteria included:
93
+ - **Demographic balance**: Equal gender representation and diverse ethnicities
94
+ - **Age diversity**: Representation across adult age ranges
95
+ - **Pose variety**: Natural human poses and activities
96
+ - **Clothing diversity**: Various styles and contexts
97
+
98
+ ### Source Data
99
+ - **3D Scanning**: Professional high-end 3D scanning equipment
100
+ - **Photogrammetry**: RealityCapture software for 3D reconstruction
101
+ - **Quality Control**: Consistent lighting and capture conditions
102
+ - **Post-processing**: Professional optimization and LOD generation
103
+
104
+ ### Preprocessing
105
+ - **File Organization**: Structured by Person ID and Pose ID
106
+ - **LOD Generation**: Multiple quality levels for different use cases
107
+ - **Metadata Extraction**: Comprehensive demographic and technical data
108
+ - **Preview Generation**: Beauty images for dataset browsing
109
+
110
+ ## Uses
111
+
112
+ ### Direct Use
113
+ This dataset can be used directly for:
114
+ - **3D Character Modeling**: Reference poses for character creation
115
+ - **Pose Estimation Training**: Training data for pose recognition models
116
+ - **Demographic Analysis**: Studies on human representation in 3D data
117
+ - **Animation Reference**: Pose libraries for animation workflows
118
+
119
+ ### Downstream Use
120
+ Potential downstream applications include:
121
+ - **Computer Vision**: Human pose estimation, activity recognition
122
+ - **Machine Learning**: Training models for human behavior analysis
123
+ - **Virtual Reality**: Avatar creation and pose libraries
124
+ - **Research**: Human-computer interaction, accessibility studies
125
+
126
+ ### Out-of-Scope Use
127
+ This dataset should not be used for:
128
+ - **Biometric identification**: Not designed for person identification
129
+ - **Medical diagnosis**: Not intended for medical applications
130
+ - **Surveillance**: Not suitable for surveillance or tracking purposes
131
+
132
+ ## Data Considerations
133
+
134
+ ### Potential Biases
135
+ - **Geographic bias**: Scans may be limited to specific geographic regions
136
+ - **Cultural bias**: Clothing and pose choices may reflect specific cultural contexts
137
+ - **Temporal bias**: Data collected at a specific time period
138
+ - **Equipment bias**: All scans use the same scanning equipment and setup
139
+
140
+ ### Known Limitations
141
+ - **Sample size**: Limited to 100 poses from 10 individuals
142
+ - **Pose variety**: May not cover all possible human poses
143
+ - **Demographic representation**: While diverse, may not represent all populations
144
+ - **Temporal factors**: Clothing and styles may become dated over time
145
+
146
+ ### Ethical Considerations
147
+ - **Consent**: All participants provided informed consent for data collection
148
+ - **Privacy**: Personal identifiers have been removed from the dataset
149
+ - **Representation**: Efforts made to include diverse demographics
150
+ - **Responsible use**: Dataset intended for research and development purposes
151
 
152
  ## Technical Specifications
153
 
 
154
  ### 3D Model Quality
155
  - **Format**: OBJ (Wavefront OBJ)
156
  - **Average Polycount**: 5,000,000 polygons per model
 
158
  - **Texture Resolution**: 16,384 pixels (4K+ resolution)
159
  - **File Structure**: Organized by Person ID and Pose ID
160
 
 
161
  ### File Organization
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
162
  ```
163
  HSR100_10by10/
164
  ├── manifest/
 
170
  └── data/ # 3D model files
171
  └── {PersonID}/{PoseID}/
172
  ├── {PoseID}-Scan.zip
173
+ ├── {PoseID}-Scan-LOD0.zip
174
+ ├── {PoseID}-Scan-LOD1.zip
175
+ ├── {PoseID}-Scan-LOD2.zip
176
  ├── {PoseID}-RealityCapture.zip
177
+ └── {PoseID}-Photos.zip
178
  ```
179
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
180
  ## Citation
181
 
 
 
 
 
182
  ```bibtex
183
  @dataset{hsr100_10by10_2025,
184
  title={HSR100_10by10: High-Quality 3D Human Scan Dataset},
185
  author={DigitalRealityLab},
186
  year={2025},
187
+ url={https://huggingface.co/datasets/digitalrealitylab/HSR100_10by10},
188
+ license={cc-by-4.0}
189
  }
190
  ```
191
 
192
+ ## License
193
 
194
+ This dataset is licensed under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
195
 
196
+ ### What this means:
197
+ - ✅ **Commercial use allowed** - Companies can use this dataset in commercial products
198
+ - ✅ **Personal use allowed** - Individuals can use it for personal projects
199
+ - ✅ **Modification allowed** - Users can modify and adapt the dataset
200
+ - ✅ **Distribution allowed** - Users can share and redistribute the dataset
201
+ - 📝 **Attribution required** - Users must give appropriate credit and cite the dataset
202
+ - 🔗 **Link to license** - Users must provide a link to the license
203
+ - ⚠️ **No additional restrictions** - Users cannot apply additional restrictions
204
 
205
+ ## Contact
206
 
207
+ For questions about this dataset, please contact DigitalRealityLab or open an issue in the repository.
208
 
209
  ---
210
 
211
+ *This dataset represents a carefully curated collection of 3D human scans designed to support diverse research and development needs in computer vision, machine learning, and 3D graphics.*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
data/HSR0015/HSR0015-Body-009/metadata/person_meta.json CHANGED
@@ -2,5 +2,25 @@
2
  "person_id": "HSR0015",
3
  "age": "23",
4
  "sex": "Female",
5
- "ethnicity": "Hispanic"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
  }
 
2
  "person_id": "HSR0015",
3
  "age": "23",
4
  "sex": "Female",
5
+ "ethnicity": "Hispanic",
6
+ "height": "163",
7
+ "weight": "50",
8
+ "country": "ESP",
9
+ "alias": "Emma",
10
+ "body_type": "Normal weight",
11
+ "skin_type": "Type 2 - White Skin",
12
+ "hair_color": "Brown",
13
+ "hair_type": "Type 2 Wavy",
14
+ "eye_color": "Brown with peripheral green",
15
+ "expression": "Neutral",
16
+ "beard": "False",
17
+ "piercing": "False",
18
+ "tattoos": "True",
19
+ "scars": "False",
20
+ "stretch_marks": "False",
21
+ "varicose_veins": "False",
22
+ "skin_condition": "False",
23
+ "muscular": "False",
24
+ "skinny": "False",
25
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