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Upd README

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  1. .gitignore +2 -0
  2. README.md +41 -18
  3. metadata.json +69 -4
.gitignore ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ .DS_Store
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+ *temp_lfs_info.txt
README.md CHANGED
@@ -1,12 +1,12 @@
1
  ---
2
  license: cc-by-4.0
3
  tags:
4
- - coral reef
5
- - 3d gaussian splatting
6
- - photogrammetry
7
- - 3d
8
- - wildflow
9
- - orthomosaic
10
  pretty_name: 3D Coral Reefs
11
  ---
12
 
@@ -18,7 +18,7 @@ We 3D mapped multiple coral reefs in Indonesia following [wildflow.ai/protocol](
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  ![exampel image](https://huggingface.co/datasets/wildflow/corals/resolve/main/indonesia_tabuhan_p1_20250210/corrected/images/GPAA0485.jpg)
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21
- This dataset currently contains raw and color-corrected photos. Additional data - including camera poses, reconstructed 3D point clouds, 3D polygonal meshes, orthomosaic, annotations, and 3D Gaussian Splatting models - will be added soon.
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23
  ## License
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@@ -27,20 +27,43 @@ This dataset is licensed under [CC-BY-4.0](https://creativecommons.org/licenses/
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  ## Structure
28
 
29
  Each dataset directory includes:
 
30
  ```
31
- {country}_{site}_{patch}_{date}/ # E.g. indonesia_tabuhan_p1_20250210/
 
 
 
32
  ├── raw/ # Raw, unprocessed images
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- ├── corrected/ # Color-corrected and unwarped images
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  ├── colmap/ # COLMAP reconstruction files
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  │ ├── cameras.bin # Camera parameters
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  │ ├── images.bin # Image data and pose information
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  │ └── points3D.bin # 3D point cloud data
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- ├── metashape/ # Metashape project files
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- ├── mesh/ # 3D polygonal mesh models
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  ├── 3dgs/ # 3D Gaussian Splatting models
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- └── info.json # Metadata including GPS coordinates, equipment
42
  ```
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44
  ## Contributors
45
 
46
  This dataset was made possible by the amazing efforts of many brilliant people:
@@ -61,11 +84,11 @@ This dataset was made possible by the amazing efforts of many brilliant people:
61
 
62
  with the massive support of these organisations:
63
 
64
- - University of Derby, UK
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- - BRIN: National Research and Innovation Agency, Indonesia
66
- - Coral Spawning Lab, UK
67
- - Wildflow, UK
68
- - CORDAP: Coral Research & Development Accelerator Platform
69
 
70
  Contact [email protected] or [email protected] if you have any questions about the dataset.
71
 
@@ -73,4 +96,4 @@ Contact [email protected] or [email protected] if you have any questions abou
73
 
74
  https://huggingface.co/datasets/wildflow/sweet-corals
75
 
76
- We add DOI shortly.
 
1
  ---
2
  license: cc-by-4.0
3
  tags:
4
+ - coral reef
5
+ - 3d gaussian splatting
6
+ - photogrammetry
7
+ - 3d
8
+ - wildflow
9
+ - orthomosaic
10
  pretty_name: 3D Coral Reefs
11
  ---
12
 
 
18
 
19
  ![exampel image](https://huggingface.co/datasets/wildflow/corals/resolve/main/indonesia_tabuhan_p1_20250210/corrected/images/GPAA0485.jpg)
20
 
21
+ This dataset currently [**contains 89,407 (350GB) of raw GoPro photos**](https://huggingface.co/datasets/wildflow/sweet-corals/tree/main) and some [colour-corrected](indonesia_tabuhan_p1_20250210/corrected/images) photos. Additional data - including camera poses, reconstructed 3D point clouds, 3D polygonal meshes, orthomosaic, annotations, and 3D Gaussian Splatting models - will be added soon.
22
 
23
  ## License
24
 
 
27
  ## Structure
28
 
29
  Each dataset directory includes:
30
+
31
  ```
32
+ ...
33
+ indonesia_tabuhan_p2_20250210/ # {country}_{site}_{patch}_{date}/
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+ indonesia_pemuteran_p1_20250213/
35
+ ...
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  ├── raw/ # Raw, unprocessed images
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+ ├── corrected/ # Colour-corrected and unwarped images (Pinhole format)
38
  ├── colmap/ # COLMAP reconstruction files
39
  │ ├── cameras.bin # Camera parameters
40
  │ ├── images.bin # Image data and pose information
41
  │ └── points3D.bin # 3D point cloud data
 
 
42
  ├── 3dgs/ # 3D Gaussian Splatting models
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+ └── metadata.json # Metadata including GPS coordinates, equipment
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  ```
45
 
46
+ ## File stats
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+
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+ | Survey patch | Raw images count | Raw images size |
49
+ | ---------------------------------- | ---------------- | --------------- |
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+ | indonesia_banyuwangi_farm_20250211 | 8,700 | 33.98 GB |
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+ | indonesia_pemuteran_p1_20250213 | 10,246 | 40.02 GB |
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+ | indonesia_pemuteran_p2_20250213 | 6,980 | 27.26 GB |
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+ | indonesia_pemuteran_p3_20250213 | 7,580 | 29.60 GB |
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+ | indonesia_tabuhan_p1_20250210 | 6,590 | 25.74 GB |
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+ | indonesia_tabuhan_p2_20250210 | 8,822 | 34.46 GB |
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+ | indonesia_tabuhan_p3_20250210 | 6,952 | 27.15 GB |
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+ | indonesia_watudodol_p1_20250208 | 7,513 | 29.34 GB |
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+ | indonesia_watudodol_p2_20250208 | 3,871 | 15.12 GB |
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+ | indonesia_watudodol_p3_20250208 | 2,938 | 11.47 GB |
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+ | indonesia_watudodol_p4_20250209 | 8,846 | 34.55 GB |
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+ | indonesia_watudodol_p5_20250209 | 4,412 | 17.23 GB |
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+ | indonesia_watudodol_p6_20250209 | 5,957 | 23.26 GB |
63
+ | **Total** | **89,407** | **349.18 GB** |
64
+
65
+ You can see more in the [metadata.json](metadata.json)
66
+
67
  ## Contributors
68
 
69
  This dataset was made possible by the amazing efforts of many brilliant people:
 
84
 
85
  with the massive support of these organisations:
86
 
87
+ - [University of Derby](https://www.derby.ac.uk/), UK
88
+ - [BRIN: National Research and Innovation Agency](https://www.brin.go.id/en), Indonesia
89
+ - [Coral Spawning Lab](https://www.coralspawninglab.org/), UK
90
+ - [Wildflow](http://wildflow.ai/), UK
91
+ - [CORDAP: Coral Research & Development Accelerator Platform](https://cordap.org/)
92
 
93
  Contact [email protected] or [email protected] if you have any questions about the dataset.
94
 
 
96
 
97
  https://huggingface.co/datasets/wildflow/sweet-corals
98
 
99
+ We add DOI shortly.
metadata.json CHANGED
@@ -8,6 +8,11 @@
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  "009": 7.4,
9
  "001": 5.7,
10
  "005": 8.9
 
 
 
 
 
11
  }
12
  },
13
  "indonesia_pemuteran_p2_20250213": {
@@ -19,6 +24,11 @@
19
  "005": 4,
20
  "002": 5.2,
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  "003": 3
 
 
 
 
 
22
  }
23
  },
24
  "indonesia_pemuteran_p3_20250213": {
@@ -30,6 +40,11 @@
30
  "017": 2.8,
31
  "014": 1.9,
32
  "011": 2
 
 
 
 
 
33
  }
34
  },
35
  "indonesia_tabuhan_p1_20250210": {
@@ -57,7 +72,12 @@
57
  "lon": 114.46278,
58
  "depth": 5.3
59
  }
60
- ]
 
 
 
 
 
61
  },
62
  "indonesia_tabuhan_p2_20250210": {
63
  "date": "2025-02-10",
@@ -84,7 +104,12 @@
84
  "lon": 114.46255,
85
  "depth": 4.7
86
  }
87
- ]
 
 
 
 
 
88
  },
89
  "indonesia_tabuhan_p3_20250210": {
90
  "date": "2025-02-10",
@@ -111,7 +136,12 @@
111
  "lon": 114.46232,
112
  "depth": 4.8
113
  }
114
- ]
 
 
 
 
 
115
  },
116
  "indonesia_watudodol_p1_20250208": {
117
  "date": "2025-02-08",
@@ -122,6 +152,11 @@
122
  "008": 3.1,
123
  "003": 3.1,
124
  "005": 4.1
 
 
 
 
 
125
  }
126
  },
127
  "indonesia_watudodol_p2_20250208": {
@@ -133,6 +168,11 @@
133
  "003": 3.4,
134
  "007": 4.5,
135
  "010": 4.3
 
 
 
 
 
136
  }
137
  },
138
  "indonesia_watudodol_p3_20250208": {
@@ -144,6 +184,11 @@
144
  "001": 3.4,
145
  "008": 6.1,
146
  "010": 3.9
 
 
 
 
 
147
  }
148
  },
149
  "indonesia_watudodol_p4_20250209": {
@@ -155,6 +200,11 @@
155
  "002": 2.9,
156
  "001": 2.9,
157
  "003": 6.6
 
 
 
 
 
158
  }
159
  },
160
  "indonesia_watudodol_p5_20250209": {
@@ -165,6 +215,11 @@
165
  "007": 3.9,
166
  "006": 3.4,
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  "009": 7.3
 
 
 
 
 
168
  }
169
  },
170
  "indonesia_watudodol_p6_20250209": {
@@ -176,11 +231,21 @@
176
  "008": 3.5,
177
  "002": 2.4,
178
  "005": 3.9
 
 
 
 
 
179
  }
180
  },
181
  "indonesia_banyuwangi_farm_20250211": {
182
  "date": "2025-02-11",
183
  "scalebar_length_m": 0.3,
184
- "notes": "This is a coral reef farm with a lot of beds with labeled corals. This is perfect for training species classification models. It was about ~30m deep on one side. Challenging site with a lot of holes."
 
 
 
 
 
185
  }
186
  }
 
8
  "009": 7.4,
9
  "001": 5.7,
10
  "005": 8.9
11
+ },
12
+ "raw": {
13
+ "dir": "indonesia_pemuteran_p1_20250213/raw",
14
+ "img_count": 10246,
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+ "img_size": "40.02 GB"
16
  }
17
  },
18
  "indonesia_pemuteran_p2_20250213": {
 
24
  "005": 4,
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  "002": 5.2,
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  "003": 3
27
+ },
28
+ "raw": {
29
+ "dir": "indonesia_pemuteran_p2_20250213/raw",
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+ "img_count": 6980,
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+ "img_size": "27.26 GB"
32
  }
33
  },
34
  "indonesia_pemuteran_p3_20250213": {
 
40
  "017": 2.8,
41
  "014": 1.9,
42
  "011": 2
43
+ },
44
+ "raw": {
45
+ "dir": "indonesia_pemuteran_p3_20250213/raw",
46
+ "img_count": 7580,
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+ "img_size": "29.60 GB"
48
  }
49
  },
50
  "indonesia_tabuhan_p1_20250210": {
 
72
  "lon": 114.46278,
73
  "depth": 5.3
74
  }
75
+ ],
76
+ "raw": {
77
+ "dir": "indonesia_tabuhan_p1_20250210/raw",
78
+ "img_count": 6590,
79
+ "img_size": "25.74 GB"
80
+ }
81
  },
82
  "indonesia_tabuhan_p2_20250210": {
83
  "date": "2025-02-10",
 
104
  "lon": 114.46255,
105
  "depth": 4.7
106
  }
107
+ ],
108
+ "raw": {
109
+ "dir": "indonesia_tabuhan_p2_20250210/raw",
110
+ "img_count": 8822,
111
+ "img_size": "34.46 GB"
112
+ }
113
  },
114
  "indonesia_tabuhan_p3_20250210": {
115
  "date": "2025-02-10",
 
136
  "lon": 114.46232,
137
  "depth": 4.8
138
  }
139
+ ],
140
+ "raw": {
141
+ "dir": "indonesia_tabuhan_p3_20250210/raw",
142
+ "img_count": 6952,
143
+ "img_size": "27.15 GB"
144
+ }
145
  },
146
  "indonesia_watudodol_p1_20250208": {
147
  "date": "2025-02-08",
 
152
  "008": 3.1,
153
  "003": 3.1,
154
  "005": 4.1
155
+ },
156
+ "raw": {
157
+ "dir": "indonesia_watudodol_p1_20250208/raw",
158
+ "img_count": 7513,
159
+ "img_size": "29.34 GB"
160
  }
161
  },
162
  "indonesia_watudodol_p2_20250208": {
 
168
  "003": 3.4,
169
  "007": 4.5,
170
  "010": 4.3
171
+ },
172
+ "raw": {
173
+ "dir": "indonesia_watudodol_p2_20250208/raw",
174
+ "img_count": 3871,
175
+ "img_size": "15.12 GB"
176
  }
177
  },
178
  "indonesia_watudodol_p3_20250208": {
 
184
  "001": 3.4,
185
  "008": 6.1,
186
  "010": 3.9
187
+ },
188
+ "raw": {
189
+ "dir": "indonesia_watudodol_p3_20250208/raw",
190
+ "img_count": 2938,
191
+ "img_size": "11.47 GB"
192
  }
193
  },
194
  "indonesia_watudodol_p4_20250209": {
 
200
  "002": 2.9,
201
  "001": 2.9,
202
  "003": 6.6
203
+ },
204
+ "raw": {
205
+ "dir": "indonesia_watudodol_p4_20250209/raw",
206
+ "img_count": 8846,
207
+ "img_size": "34.55 GB"
208
  }
209
  },
210
  "indonesia_watudodol_p5_20250209": {
 
215
  "007": 3.9,
216
  "006": 3.4,
217
  "009": 7.3
218
+ },
219
+ "raw": {
220
+ "dir": "indonesia_watudodol_p5_20250209/raw",
221
+ "img_count": 4412,
222
+ "img_size": "17.23 GB"
223
  }
224
  },
225
  "indonesia_watudodol_p6_20250209": {
 
231
  "008": 3.5,
232
  "002": 2.4,
233
  "005": 3.9
234
+ },
235
+ "raw": {
236
+ "dir": "indonesia_watudodol_p6_20250209/raw",
237
+ "img_count": 5957,
238
+ "img_size": "23.26 GB"
239
  }
240
  },
241
  "indonesia_banyuwangi_farm_20250211": {
242
  "date": "2025-02-11",
243
  "scalebar_length_m": 0.3,
244
+ "notes": "This is a coral reef farm with a lot of beds with labeled corals. This is perfect for training species classification models. It was about ~30m deep on one side. Challenging site with a lot of holes.",
245
+ "raw": {
246
+ "dir": "indonesia_banyuwangi_farm_20250211/raw",
247
+ "img_count": 8700,
248
+ "img_size": "33.98 GB"
249
+ }
250
  }
251
  }