Datasets:
Update README.md
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README.md
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---
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language:
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- en
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- zh
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license: cc-by-nc-nd-4.0
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size_categories:
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- 10K<n<100K
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task_categories:
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- image-classification
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pretty_name: Orchid2024_full
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dataset_info:
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- config_name: Orchid2024_full
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features:
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- name: Class_Name
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dtype: string
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- name: Img
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dtype: image
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- name: Label
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dtype:
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class_label:
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names:
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'0': class0000
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'1': class0001
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'2': class0002
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'3': class0003
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'4': class0004
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'5': class0005
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'6': class0006
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'7': class0007
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'8': class0008
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'9': class0009
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'10': class0010
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'11': class0011
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'12': class0012
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'13': class0013
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'14': class0014
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'15': class0015
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'16': class0016
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'17': class0017
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'18': class0018
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'19': class0019
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'20': class0020
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'21': class0021
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'22': class0022
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'23': class0023
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'24': class0024
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'25': class0025
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'26': class0026
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'27': class0027
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'28': class0028
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'29': class0029
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'30': class0030
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'31': class0031
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'36': class0036
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'142': class0142
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'143': class0143
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| 168 |
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| 169 |
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'147': class0147
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| 170 |
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'148': class0148
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| 171 |
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'149': class0149
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| 172 |
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'150': class0150
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| 173 |
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'151': class0151
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| 174 |
-
'152': class0152
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| 175 |
-
'153': class0153
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| 176 |
-
'154': class0154
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| 177 |
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'155': class0155
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| 178 |
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'156': class0156
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| 179 |
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'157': class0157
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| 180 |
-
'158': class0158
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| 181 |
-
'159': class0159
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| 182 |
-
'160': class0160
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| 183 |
-
'161': class0161
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| 184 |
-
'162': class0162
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| 185 |
-
'163': class0163
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| 186 |
-
'164': class0164
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| 187 |
-
'165': class0165
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| 188 |
-
'166': class0166
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| 189 |
-
'167': class0167
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| 190 |
-
'168': class0168
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| 191 |
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'169': class0169
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| 192 |
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'170': class0170
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| 193 |
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'171': class0171
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'172': class0172
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| 195 |
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'173': class0173
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| 196 |
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'174': class0174
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| 197 |
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'175': class0175
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'176': class0176
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| 199 |
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'177': class0177
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| 200 |
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'178': class0178
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| 201 |
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'179': class0179
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| 202 |
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'180': class0180
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| 203 |
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'181': class0181
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| 204 |
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'182': class0182
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| 205 |
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'183': class0183
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| 206 |
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'184': class0184
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
-
'191': class0191
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| 214 |
-
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|
| 215 |
-
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| 216 |
-
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| 217 |
-
'195': class0195
|
| 218 |
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'196': class0196
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| 219 |
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| 220 |
-
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|
| 221 |
-
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|
| 222 |
-
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| 223 |
-
'201': class0201
|
| 224 |
-
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|
| 225 |
-
'203': class0203
|
| 226 |
-
'204': class0204
|
| 227 |
-
'205': class0205
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| 228 |
-
'206': class0206
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| 229 |
-
'207': class0207
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| 230 |
-
'208': class0208
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| 231 |
-
'209': class0209
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| 232 |
-
'210': class0210
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| 233 |
-
'211': class0211
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| 234 |
-
'212': class0212
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| 235 |
-
'213': class0213
|
| 236 |
-
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| 237 |
-
'215': class0215
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| 238 |
-
'216': class0216
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| 239 |
-
'217': class0217
|
| 240 |
-
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|
| 241 |
-
'219': class0219
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| 242 |
-
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| 243 |
-
'221': class0221
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| 244 |
-
'222': class0222
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| 245 |
-
'223': class0223
|
| 246 |
-
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| 247 |
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'225': class0225
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| 248 |
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| 249 |
-
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| 250 |
-
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|
| 251 |
-
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| 252 |
-
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|
| 253 |
-
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|
| 254 |
-
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|
| 255 |
-
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| 256 |
-
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| 257 |
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| 258 |
-
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| 259 |
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| 260 |
-
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| 261 |
-
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| 262 |
-
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| 263 |
-
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| 264 |
-
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| 265 |
-
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| 266 |
-
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| 267 |
-
'245': class0245
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| 268 |
-
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| 269 |
-
'247': class0247
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| 270 |
-
'248': class0248
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| 271 |
-
'249': class0249
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| 272 |
-
'250': class0250
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| 273 |
-
'251': class0251
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| 274 |
-
'252': class0252
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| 275 |
-
'253': class0253
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| 276 |
-
'254': class0254
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| 277 |
-
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| 278 |
-
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|
| 279 |
-
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|
| 280 |
-
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|
| 281 |
-
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|
| 282 |
-
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| 283 |
-
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|
| 284 |
-
'262': class0262
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| 285 |
-
'263': class0263
|
| 286 |
-
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| 287 |
-
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|
| 288 |
-
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| 289 |
-
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|
| 290 |
-
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| 291 |
-
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| 292 |
-
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|
| 293 |
-
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|
| 294 |
-
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| 295 |
-
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| 296 |
-
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| 297 |
-
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| 298 |
-
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| 299 |
-
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|
| 300 |
-
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| 301 |
-
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| 302 |
-
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| 303 |
-
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| 304 |
-
'282': class0282
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| 305 |
-
'283': class0283
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| 306 |
-
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| 307 |
-
'285': class0285
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| 308 |
-
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|
| 309 |
-
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| 310 |
-
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| 311 |
-
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| 312 |
-
'290': class0290
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| 313 |
-
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| 314 |
-
'292': class0292
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| 315 |
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'293': class0293
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| 316 |
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'294': class0294
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| 317 |
-
'295': class0295
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| 318 |
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| 319 |
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| 320 |
-
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| 321 |
-
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| 322 |
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| 323 |
-
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| 324 |
-
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| 325 |
-
'303': class0303
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| 326 |
-
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|
| 327 |
-
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| 328 |
-
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| 329 |
-
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| 330 |
-
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|
| 331 |
-
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|
| 332 |
-
'310': class0310
|
| 333 |
-
'311': class0311
|
| 334 |
-
'312': class0312
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| 335 |
-
'313': class0313
|
| 336 |
-
'314': class0314
|
| 337 |
-
'315': class0315
|
| 338 |
-
'316': class0316
|
| 339 |
-
'317': class0317
|
| 340 |
-
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|
| 341 |
-
'319': class0319
|
| 342 |
-
'320': class0320
|
| 343 |
-
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|
| 344 |
-
'322': class0322
|
| 345 |
-
'323': class0323
|
| 346 |
-
'324': class0324
|
| 347 |
-
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|
| 348 |
-
'326': class0326
|
| 349 |
-
'327': class0327
|
| 350 |
-
'328': class0328
|
| 351 |
-
'329': class0329
|
| 352 |
-
'330': class0330
|
| 353 |
-
'331': class0331
|
| 354 |
-
'332': class0332
|
| 355 |
-
'333': class0333
|
| 356 |
-
'334': class0334
|
| 357 |
-
'335': class0335
|
| 358 |
-
'336': class0336
|
| 359 |
-
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|
| 360 |
-
'338': class0338
|
| 361 |
-
'339': class0339
|
| 362 |
-
'340': class0340
|
| 363 |
-
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|
| 364 |
-
'342': class0342
|
| 365 |
-
'343': class0343
|
| 366 |
-
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|
| 367 |
-
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|
| 368 |
-
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|
| 369 |
-
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|
| 370 |
-
'348': class0348
|
| 371 |
-
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|
| 372 |
-
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|
| 373 |
-
'351': class0351
|
| 374 |
-
'352': class0352
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| 375 |
-
'353': class0353
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| 376 |
-
'354': class0354
|
| 377 |
-
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|
| 378 |
-
'356': class0356
|
| 379 |
-
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|
| 380 |
-
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|
| 381 |
-
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|
| 382 |
-
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|
| 383 |
-
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|
| 384 |
-
'362': class0362
|
| 385 |
-
'363': class0363
|
| 386 |
-
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|
| 387 |
-
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| 388 |
-
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|
| 389 |
-
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|
| 390 |
-
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|
| 391 |
-
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|
| 392 |
-
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|
| 393 |
-
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|
| 394 |
-
'372': class0372
|
| 395 |
-
'373': class0373
|
| 396 |
-
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|
| 397 |
-
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|
| 398 |
-
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|
| 399 |
-
'377': class0377
|
| 400 |
-
'378': class0378
|
| 401 |
-
'379': class0379
|
| 402 |
-
'380': class0380
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| 403 |
-
'381': class0381
|
| 404 |
-
'382': class0382
|
| 405 |
-
'383': class0383
|
| 406 |
-
'384': class0384
|
| 407 |
-
'385': class0385
|
| 408 |
-
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|
| 409 |
-
'387': class0387
|
| 410 |
-
'388': class0388
|
| 411 |
-
'389': class0389
|
| 412 |
-
'390': class0390
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| 413 |
-
'391': class0391
|
| 414 |
-
'392': class0392
|
| 415 |
-
'393': class0393
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| 416 |
-
'394': class0394
|
| 417 |
-
'395': class0395
|
| 418 |
-
'396': class0396
|
| 419 |
-
'397': class0397
|
| 420 |
-
'398': class0398
|
| 421 |
-
'399': class0399
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| 422 |
-
'400': class0400
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| 423 |
-
'401': class0401
|
| 424 |
-
'402': class0402
|
| 425 |
-
'403': class0403
|
| 426 |
-
'404': class0404
|
| 427 |
-
'405': class0405
|
| 428 |
-
'406': class0406
|
| 429 |
-
'407': class0407
|
| 430 |
-
'408': class0408
|
| 431 |
-
'409': class0409
|
| 432 |
-
'410': class0410
|
| 433 |
-
'411': class0411
|
| 434 |
-
'412': class0412
|
| 435 |
-
'413': class0413
|
| 436 |
-
'414': class0414
|
| 437 |
-
'415': class0415
|
| 438 |
-
'416': class0416
|
| 439 |
-
'417': class0417
|
| 440 |
-
'418': class0418
|
| 441 |
-
'419': class0419
|
| 442 |
-
'420': class0420
|
| 443 |
-
'421': class0421
|
| 444 |
-
'422': class0422
|
| 445 |
-
'423': class0423
|
| 446 |
-
'424': class0424
|
| 447 |
-
'425': class0425
|
| 448 |
-
'426': class0426
|
| 449 |
-
'427': class0427
|
| 450 |
-
'428': class0428
|
| 451 |
-
'429': class0429
|
| 452 |
-
'430': class0430
|
| 453 |
-
'431': class0431
|
| 454 |
-
'432': class0432
|
| 455 |
-
'433': class0433
|
| 456 |
-
'434': class0434
|
| 457 |
-
'435': class0435
|
| 458 |
-
'436': class0436
|
| 459 |
-
'437': class0437
|
| 460 |
-
'438': class0438
|
| 461 |
-
'439': class0439
|
| 462 |
-
'440': class0440
|
| 463 |
-
'441': class0441
|
| 464 |
-
'442': class0442
|
| 465 |
-
'443': class0443
|
| 466 |
-
'444': class0444
|
| 467 |
-
'445': class0445
|
| 468 |
-
'446': class0446
|
| 469 |
-
'447': class0447
|
| 470 |
-
'448': class0448
|
| 471 |
-
'449': class0449
|
| 472 |
-
'450': class0450
|
| 473 |
-
'451': class0451
|
| 474 |
-
'452': class0452
|
| 475 |
-
'453': class0453
|
| 476 |
-
'454': class0454
|
| 477 |
-
'455': class0455
|
| 478 |
-
'456': class0456
|
| 479 |
-
'457': class0457
|
| 480 |
-
'458': class0458
|
| 481 |
-
'459': class0459
|
| 482 |
-
'460': class0460
|
| 483 |
-
'461': class0461
|
| 484 |
-
'462': class0462
|
| 485 |
-
'463': class0463
|
| 486 |
-
'464': class0464
|
| 487 |
-
'465': class0465
|
| 488 |
-
'466': class0466
|
| 489 |
-
'467': class0467
|
| 490 |
-
'468': class0468
|
| 491 |
-
'469': class0469
|
| 492 |
-
'470': class0470
|
| 493 |
-
'471': class0471
|
| 494 |
-
'472': class0472
|
| 495 |
-
'473': class0473
|
| 496 |
-
'474': class0474
|
| 497 |
-
'475': class0475
|
| 498 |
-
'476': class0476
|
| 499 |
-
'477': class0477
|
| 500 |
-
'478': class0478
|
| 501 |
-
'479': class0479
|
| 502 |
-
'480': class0480
|
| 503 |
-
'481': class0481
|
| 504 |
-
'482': class0482
|
| 505 |
-
'483': class0483
|
| 506 |
-
'484': class0484
|
| 507 |
-
'485': class0485
|
| 508 |
-
'486': class0486
|
| 509 |
-
'487': class0487
|
| 510 |
-
'488': class0488
|
| 511 |
-
'489': class0489
|
| 512 |
-
'490': class0490
|
| 513 |
-
'491': class0491
|
| 514 |
-
'492': class0492
|
| 515 |
-
'493': class0493
|
| 516 |
-
'494': class0494
|
| 517 |
-
'495': class0495
|
| 518 |
-
'496': class0496
|
| 519 |
-
'497': class0497
|
| 520 |
-
'498': class0498
|
| 521 |
-
'499': class0499
|
| 522 |
-
'500': class0500
|
| 523 |
-
'501': class0501
|
| 524 |
-
'502': class0502
|
| 525 |
-
'503': class0503
|
| 526 |
-
'504': class0504
|
| 527 |
-
'505': class0505
|
| 528 |
-
'506': class0506
|
| 529 |
-
'507': class0507
|
| 530 |
-
'508': class0508
|
| 531 |
-
'509': class0509
|
| 532 |
-
'510': class0510
|
| 533 |
-
'511': class0511
|
| 534 |
-
'512': class0512
|
| 535 |
-
'513': class0513
|
| 536 |
-
'514': class0514
|
| 537 |
-
'515': class0515
|
| 538 |
-
'516': class0516
|
| 539 |
-
'517': class0517
|
| 540 |
-
'518': class0518
|
| 541 |
-
'519': class0519
|
| 542 |
-
'520': class0520
|
| 543 |
-
'521': class0521
|
| 544 |
-
'522': class0522
|
| 545 |
-
'523': class0523
|
| 546 |
-
'524': class0524
|
| 547 |
-
'525': class0525
|
| 548 |
-
'526': class0526
|
| 549 |
-
'527': class0527
|
| 550 |
-
'528': class0528
|
| 551 |
-
'529': class0529
|
| 552 |
-
'530': class0530
|
| 553 |
-
'531': class0531
|
| 554 |
-
'532': class0532
|
| 555 |
-
'533': class0533
|
| 556 |
-
'534': class0534
|
| 557 |
-
'535': class0535
|
| 558 |
-
'536': class0536
|
| 559 |
-
'537': class0537
|
| 560 |
-
'538': class0538
|
| 561 |
-
'539': class0539
|
| 562 |
-
'540': class0540
|
| 563 |
-
'541': class0541
|
| 564 |
-
'542': class0542
|
| 565 |
-
'543': class0543
|
| 566 |
-
'544': class0544
|
| 567 |
-
'545': class0545
|
| 568 |
-
'546': class0546
|
| 569 |
-
'547': class0547
|
| 570 |
-
'548': class0548
|
| 571 |
-
'549': class0549
|
| 572 |
-
'550': class0550
|
| 573 |
-
'551': class0551
|
| 574 |
-
'552': class0552
|
| 575 |
-
'553': class0553
|
| 576 |
-
'554': class0554
|
| 577 |
-
'555': class0555
|
| 578 |
-
'556': class0556
|
| 579 |
-
'557': class0557
|
| 580 |
-
'558': class0558
|
| 581 |
-
'559': class0559
|
| 582 |
-
'560': class0560
|
| 583 |
-
'561': class0561
|
| 584 |
-
'562': class0562
|
| 585 |
-
'563': class0563
|
| 586 |
-
'564': class0564
|
| 587 |
-
'565': class0565
|
| 588 |
-
'566': class0566
|
| 589 |
-
'567': class0567
|
| 590 |
-
'568': class0568
|
| 591 |
-
'569': class0569
|
| 592 |
-
'570': class0570
|
| 593 |
-
'571': class0571
|
| 594 |
-
'572': class0572
|
| 595 |
-
'573': class0573
|
| 596 |
-
'574': class0574
|
| 597 |
-
'575': class0575
|
| 598 |
-
'576': class0576
|
| 599 |
-
'577': class0577
|
| 600 |
-
'578': class0578
|
| 601 |
-
'579': class0579
|
| 602 |
-
'580': class0580
|
| 603 |
-
'581': class0581
|
| 604 |
-
'582': class0582
|
| 605 |
-
'583': class0583
|
| 606 |
-
'584': class0584
|
| 607 |
-
'585': class0585
|
| 608 |
-
'586': class0586
|
| 609 |
-
'587': class0587
|
| 610 |
-
'588': class0588
|
| 611 |
-
'589': class0589
|
| 612 |
-
'590': class0590
|
| 613 |
-
'591': class0591
|
| 614 |
-
'592': class0592
|
| 615 |
-
'593': class0593
|
| 616 |
-
'594': class0594
|
| 617 |
-
'595': class0595
|
| 618 |
-
'596': class0596
|
| 619 |
-
'597': class0597
|
| 620 |
-
'598': class0598
|
| 621 |
-
'599': class0599
|
| 622 |
-
'600': class0600
|
| 623 |
-
'601': class0601
|
| 624 |
-
'602': class0602
|
| 625 |
-
'603': class0603
|
| 626 |
-
'604': class0604
|
| 627 |
-
'605': class0605
|
| 628 |
-
'606': class0606
|
| 629 |
-
'607': class0607
|
| 630 |
-
'608': class0608
|
| 631 |
-
'609': class0609
|
| 632 |
-
'610': class0610
|
| 633 |
-
'611': class0611
|
| 634 |
-
'612': class0612
|
| 635 |
-
'613': class0613
|
| 636 |
-
'614': class0614
|
| 637 |
-
'615': class0615
|
| 638 |
-
'616': class0616
|
| 639 |
-
'617': class0617
|
| 640 |
-
'618': class0618
|
| 641 |
-
'619': class0619
|
| 642 |
-
'620': class0620
|
| 643 |
-
'621': class0621
|
| 644 |
-
'622': class0622
|
| 645 |
-
'623': class0623
|
| 646 |
-
'624': class0624
|
| 647 |
-
'625': class0625
|
| 648 |
-
'626': class0626
|
| 649 |
-
'627': class0627
|
| 650 |
-
'628': class0628
|
| 651 |
-
'629': class0629
|
| 652 |
-
'630': class0630
|
| 653 |
-
'631': class0631
|
| 654 |
-
'632': class0632
|
| 655 |
-
'633': class0633
|
| 656 |
-
'634': class0634
|
| 657 |
-
'635': class0635
|
| 658 |
-
'636': class0636
|
| 659 |
-
'637': class0637
|
| 660 |
-
'638': class0638
|
| 661 |
-
'639': class0639
|
| 662 |
-
'640': class0640
|
| 663 |
-
'641': class0641
|
| 664 |
-
'642': class0642
|
| 665 |
-
'643': class0643
|
| 666 |
-
'644': class0644
|
| 667 |
-
'645': class0645
|
| 668 |
-
'646': class0646
|
| 669 |
-
'647': class0647
|
| 670 |
-
'648': class0648
|
| 671 |
-
'649': class0649
|
| 672 |
-
'650': class0650
|
| 673 |
-
'651': class0651
|
| 674 |
-
'652': class0652
|
| 675 |
-
'653': class0653
|
| 676 |
-
'654': class0654
|
| 677 |
-
'655': class0655
|
| 678 |
-
'656': class0656
|
| 679 |
-
'657': class0657
|
| 680 |
-
'658': class0658
|
| 681 |
-
'659': class0659
|
| 682 |
-
'660': class0660
|
| 683 |
-
'661': class0661
|
| 684 |
-
'662': class0662
|
| 685 |
-
'663': class0663
|
| 686 |
-
'664': class0664
|
| 687 |
-
'665': class0665
|
| 688 |
-
'666': class0666
|
| 689 |
-
'667': class0667
|
| 690 |
-
'668': class0668
|
| 691 |
-
'669': class0669
|
| 692 |
-
'670': class0670
|
| 693 |
-
'671': class0671
|
| 694 |
-
'672': class0672
|
| 695 |
-
'673': class0673
|
| 696 |
-
'674': class0674
|
| 697 |
-
'675': class0675
|
| 698 |
-
'676': class0676
|
| 699 |
-
'677': class0677
|
| 700 |
-
'678': class0678
|
| 701 |
-
'679': class0679
|
| 702 |
-
'680': class0680
|
| 703 |
-
'681': class0681
|
| 704 |
-
'682': class0682
|
| 705 |
-
'683': class0683
|
| 706 |
-
'684': class0684
|
| 707 |
-
'685': class0685
|
| 708 |
-
'686': class0686
|
| 709 |
-
'687': class0687
|
| 710 |
-
'688': class0688
|
| 711 |
-
'689': class0689
|
| 712 |
-
'690': class0690
|
| 713 |
-
'691': class0691
|
| 714 |
-
'692': class0692
|
| 715 |
-
'693': class0693
|
| 716 |
-
'694': class0694
|
| 717 |
-
'695': class0695
|
| 718 |
-
'696': class0696
|
| 719 |
-
'697': class0697
|
| 720 |
-
'698': class0698
|
| 721 |
-
'699': class0699
|
| 722 |
-
'700': class0700
|
| 723 |
-
'701': class0701
|
| 724 |
-
'702': class0702
|
| 725 |
-
'703': class0703
|
| 726 |
-
'704': class0704
|
| 727 |
-
'705': class0705
|
| 728 |
-
'706': class0706
|
| 729 |
-
'707': class0707
|
| 730 |
-
'708': class0708
|
| 731 |
-
'709': class0709
|
| 732 |
-
'710': class0710
|
| 733 |
-
'711': class0711
|
| 734 |
-
'712': class0712
|
| 735 |
-
'713': class0713
|
| 736 |
-
'714': class0714
|
| 737 |
-
'715': class0715
|
| 738 |
-
'716': class0716
|
| 739 |
-
'717': class0717
|
| 740 |
-
'718': class0718
|
| 741 |
-
'719': class0719
|
| 742 |
-
'720': class0720
|
| 743 |
-
'721': class0721
|
| 744 |
-
'722': class0722
|
| 745 |
-
'723': class0723
|
| 746 |
-
'724': class0724
|
| 747 |
-
'725': class0725
|
| 748 |
-
'726': class0726
|
| 749 |
-
'727': class0727
|
| 750 |
-
'728': class0728
|
| 751 |
-
'729': class0729
|
| 752 |
-
'730': class0730
|
| 753 |
-
'731': class0731
|
| 754 |
-
'732': class0732
|
| 755 |
-
'733': class0733
|
| 756 |
-
'734': class0734
|
| 757 |
-
'735': class0735
|
| 758 |
-
'736': class0736
|
| 759 |
-
'737': class0737
|
| 760 |
-
'738': class0738
|
| 761 |
-
'739': class0739
|
| 762 |
-
'740': class0740
|
| 763 |
-
'741': class0741
|
| 764 |
-
'742': class0742
|
| 765 |
-
'743': class0743
|
| 766 |
-
'744': class0744
|
| 767 |
-
'745': class0745
|
| 768 |
-
'746': class0746
|
| 769 |
-
'747': class0747
|
| 770 |
-
'748': class0748
|
| 771 |
-
'749': class0749
|
| 772 |
-
'750': class0750
|
| 773 |
-
'751': class0751
|
| 774 |
-
'752': class0752
|
| 775 |
-
'753': class0753
|
| 776 |
-
'754': class0754
|
| 777 |
-
'755': class0755
|
| 778 |
-
'756': class0756
|
| 779 |
-
'757': class0757
|
| 780 |
-
'758': class0758
|
| 781 |
-
'759': class0759
|
| 782 |
-
'760': class0760
|
| 783 |
-
'761': class0761
|
| 784 |
-
'762': class0762
|
| 785 |
-
'763': class0763
|
| 786 |
-
'764': class0764
|
| 787 |
-
'765': class0765
|
| 788 |
-
'766': class0766
|
| 789 |
-
'767': class0767
|
| 790 |
-
'768': class0768
|
| 791 |
-
'769': class0769
|
| 792 |
-
'770': class0770
|
| 793 |
-
'771': class0771
|
| 794 |
-
'772': class0772
|
| 795 |
-
'773': class0773
|
| 796 |
-
'774': class0774
|
| 797 |
-
'775': class0775
|
| 798 |
-
'776': class0776
|
| 799 |
-
'777': class0777
|
| 800 |
-
'778': class0778
|
| 801 |
-
'779': class0779
|
| 802 |
-
'780': class0780
|
| 803 |
-
'781': class0781
|
| 804 |
-
'782': class0782
|
| 805 |
-
'783': class0783
|
| 806 |
-
'784': class0784
|
| 807 |
-
'785': class0785
|
| 808 |
-
'786': class0786
|
| 809 |
-
'787': class0787
|
| 810 |
-
'788': class0788
|
| 811 |
-
'789': class0789
|
| 812 |
-
'790': class0790
|
| 813 |
-
'791': class0791
|
| 814 |
-
'792': class0792
|
| 815 |
-
'793': class0793
|
| 816 |
-
'794': class0794
|
| 817 |
-
'795': class0795
|
| 818 |
-
'796': class0796
|
| 819 |
-
'797': class0797
|
| 820 |
-
'798': class0798
|
| 821 |
-
'799': class0799
|
| 822 |
-
'800': class0800
|
| 823 |
-
'801': class0801
|
| 824 |
-
'802': class0802
|
| 825 |
-
'803': class0803
|
| 826 |
-
'804': class0804
|
| 827 |
-
'805': class0805
|
| 828 |
-
'806': class0806
|
| 829 |
-
'807': class0807
|
| 830 |
-
'808': class0808
|
| 831 |
-
'809': class0809
|
| 832 |
-
'810': class0810
|
| 833 |
-
'811': class0811
|
| 834 |
-
'812': class0812
|
| 835 |
-
'813': class0813
|
| 836 |
-
'814': class0814
|
| 837 |
-
'815': class0815
|
| 838 |
-
'816': class0816
|
| 839 |
-
'817': class0817
|
| 840 |
-
'818': class0818
|
| 841 |
-
'819': class0819
|
| 842 |
-
'820': class0820
|
| 843 |
-
'821': class0821
|
| 844 |
-
'822': class0822
|
| 845 |
-
'823': class0823
|
| 846 |
-
'824': class0824
|
| 847 |
-
'825': class0825
|
| 848 |
-
'826': class0826
|
| 849 |
-
'827': class0827
|
| 850 |
-
'828': class0828
|
| 851 |
-
'829': class0829
|
| 852 |
-
'830': class0830
|
| 853 |
-
'831': class0831
|
| 854 |
-
'832': class0832
|
| 855 |
-
'833': class0833
|
| 856 |
-
'834': class0834
|
| 857 |
-
'835': class0835
|
| 858 |
-
'836': class0836
|
| 859 |
-
'837': class0837
|
| 860 |
-
'838': class0838
|
| 861 |
-
'839': class0839
|
| 862 |
-
'840': class0840
|
| 863 |
-
'841': class0841
|
| 864 |
-
'842': class0842
|
| 865 |
-
'843': class0843
|
| 866 |
-
'844': class0844
|
| 867 |
-
'845': class0845
|
| 868 |
-
'846': class0846
|
| 869 |
-
'847': class0847
|
| 870 |
-
'848': class0848
|
| 871 |
-
'849': class0849
|
| 872 |
-
'850': class0850
|
| 873 |
-
'851': class0851
|
| 874 |
-
'852': class0852
|
| 875 |
-
'853': class0853
|
| 876 |
-
'854': class0854
|
| 877 |
-
'855': class0855
|
| 878 |
-
'856': class0856
|
| 879 |
-
'857': class0857
|
| 880 |
-
'858': class0858
|
| 881 |
-
'859': class0859
|
| 882 |
-
'860': class0860
|
| 883 |
-
'861': class0861
|
| 884 |
-
'862': class0862
|
| 885 |
-
'863': class0863
|
| 886 |
-
'864': class0864
|
| 887 |
-
'865': class0865
|
| 888 |
-
'866': class0866
|
| 889 |
-
'867': class0867
|
| 890 |
-
'868': class0868
|
| 891 |
-
'869': class0869
|
| 892 |
-
'870': class0870
|
| 893 |
-
'871': class0871
|
| 894 |
-
'872': class0872
|
| 895 |
-
'873': class0873
|
| 896 |
-
'874': class0874
|
| 897 |
-
'875': class0875
|
| 898 |
-
'876': class0876
|
| 899 |
-
'877': class0877
|
| 900 |
-
'878': class0878
|
| 901 |
-
'879': class0879
|
| 902 |
-
'880': class0880
|
| 903 |
-
'881': class0881
|
| 904 |
-
'882': class0882
|
| 905 |
-
'883': class0883
|
| 906 |
-
'884': class0884
|
| 907 |
-
'885': class0885
|
| 908 |
-
'886': class0886
|
| 909 |
-
'887': class0887
|
| 910 |
-
'888': class0888
|
| 911 |
-
'889': class0889
|
| 912 |
-
'890': class0890
|
| 913 |
-
'891': class0891
|
| 914 |
-
'892': class0892
|
| 915 |
-
'893': class0893
|
| 916 |
-
'894': class0894
|
| 917 |
-
'895': class0895
|
| 918 |
-
'896': class0896
|
| 919 |
-
'897': class0897
|
| 920 |
-
'898': class0898
|
| 921 |
-
'899': class0899
|
| 922 |
-
'900': class0900
|
| 923 |
-
'901': class0901
|
| 924 |
-
'902': class0902
|
| 925 |
-
'903': class0903
|
| 926 |
-
'904': class0904
|
| 927 |
-
'905': class0905
|
| 928 |
-
'906': class0906
|
| 929 |
-
'907': class0907
|
| 930 |
-
'908': class0908
|
| 931 |
-
'909': class0909
|
| 932 |
-
'910': class0910
|
| 933 |
-
'911': class0911
|
| 934 |
-
'912': class0912
|
| 935 |
-
'913': class0913
|
| 936 |
-
'914': class0914
|
| 937 |
-
'915': class0915
|
| 938 |
-
'916': class0916
|
| 939 |
-
'917': class0917
|
| 940 |
-
'918': class0918
|
| 941 |
-
'919': class0919
|
| 942 |
-
'920': class0920
|
| 943 |
-
'921': class0921
|
| 944 |
-
'922': class0922
|
| 945 |
-
'923': class0923
|
| 946 |
-
'924': class0924
|
| 947 |
-
'925': class0925
|
| 948 |
-
'926': class0926
|
| 949 |
-
'927': class0927
|
| 950 |
-
'928': class0928
|
| 951 |
-
'929': class0929
|
| 952 |
-
'930': class0930
|
| 953 |
-
'931': class0931
|
| 954 |
-
'932': class0932
|
| 955 |
-
'933': class0933
|
| 956 |
-
'934': class0934
|
| 957 |
-
'935': class0935
|
| 958 |
-
'936': class0936
|
| 959 |
-
'937': class0937
|
| 960 |
-
'938': class0938
|
| 961 |
-
'939': class0939
|
| 962 |
-
'940': class0940
|
| 963 |
-
'941': class0941
|
| 964 |
-
'942': class0942
|
| 965 |
-
'943': class0943
|
| 966 |
-
'944': class0944
|
| 967 |
-
'945': class0945
|
| 968 |
-
'946': class0946
|
| 969 |
-
'947': class0947
|
| 970 |
-
'948': class0948
|
| 971 |
-
'949': class0949
|
| 972 |
-
'950': class0950
|
| 973 |
-
'951': class0951
|
| 974 |
-
'952': class0952
|
| 975 |
-
'953': class0953
|
| 976 |
-
'954': class0954
|
| 977 |
-
'955': class0955
|
| 978 |
-
'956': class0956
|
| 979 |
-
'957': class0957
|
| 980 |
-
'958': class0958
|
| 981 |
-
'959': class0959
|
| 982 |
-
'960': class0960
|
| 983 |
-
'961': class0961
|
| 984 |
-
'962': class0962
|
| 985 |
-
'963': class0963
|
| 986 |
-
'964': class0964
|
| 987 |
-
'965': class0965
|
| 988 |
-
'966': class0966
|
| 989 |
-
'967': class0967
|
| 990 |
-
'968': class0968
|
| 991 |
-
'969': class0969
|
| 992 |
-
'970': class0970
|
| 993 |
-
'971': class0971
|
| 994 |
-
'972': class0972
|
| 995 |
-
'973': class0973
|
| 996 |
-
'974': class0974
|
| 997 |
-
'975': class0975
|
| 998 |
-
'976': class0976
|
| 999 |
-
'977': class0977
|
| 1000 |
-
'978': class0978
|
| 1001 |
-
'979': class0979
|
| 1002 |
-
'980': class0980
|
| 1003 |
-
'981': class0981
|
| 1004 |
-
'982': class0982
|
| 1005 |
-
'983': class0983
|
| 1006 |
-
'984': class0984
|
| 1007 |
-
'985': class0985
|
| 1008 |
-
'986': class0986
|
| 1009 |
-
'987': class0987
|
| 1010 |
-
'988': class0988
|
| 1011 |
-
'989': class0989
|
| 1012 |
-
'990': class0990
|
| 1013 |
-
'991': class0991
|
| 1014 |
-
'992': class0992
|
| 1015 |
-
'993': class0993
|
| 1016 |
-
'994': class0994
|
| 1017 |
-
'995': class0995
|
| 1018 |
-
'996': class0996
|
| 1019 |
-
'997': class0997
|
| 1020 |
-
'998': class0998
|
| 1021 |
-
'999': class0999
|
| 1022 |
-
'1000': class1000
|
| 1023 |
-
'1001': class1001
|
| 1024 |
-
'1002': class1002
|
| 1025 |
-
'1003': class1003
|
| 1026 |
-
'1004': class1004
|
| 1027 |
-
'1005': class1005
|
| 1028 |
-
'1006': class1006
|
| 1029 |
-
'1007': class1007
|
| 1030 |
-
'1008': class1008
|
| 1031 |
-
'1009': class1009
|
| 1032 |
-
'1010': class1010
|
| 1033 |
-
'1011': class1011
|
| 1034 |
-
'1012': class1012
|
| 1035 |
-
'1013': class1013
|
| 1036 |
-
'1014': class1014
|
| 1037 |
-
'1015': class1015
|
| 1038 |
-
'1016': class1016
|
| 1039 |
-
'1017': class1017
|
| 1040 |
-
'1018': class1018
|
| 1041 |
-
'1019': class1019
|
| 1042 |
-
'1020': class1020
|
| 1043 |
-
'1021': class1021
|
| 1044 |
-
'1022': class1022
|
| 1045 |
-
'1023': class1023
|
| 1046 |
-
'1024': class1024
|
| 1047 |
-
'1025': class1025
|
| 1048 |
-
'1026': class1026
|
| 1049 |
-
'1027': class1027
|
| 1050 |
-
'1028': class1028
|
| 1051 |
-
'1029': class1029
|
| 1052 |
-
'1030': class1030
|
| 1053 |
-
'1031': class1031
|
| 1054 |
-
'1032': class1032
|
| 1055 |
-
'1033': class1033
|
| 1056 |
-
'1034': class1034
|
| 1057 |
-
'1035': class1035
|
| 1058 |
-
'1036': class1036
|
| 1059 |
-
'1037': class1037
|
| 1060 |
-
'1038': class1038
|
| 1061 |
-
'1039': class1039
|
| 1062 |
-
'1040': class1040
|
| 1063 |
-
'1041': class1041
|
| 1064 |
-
'1042': class1042
|
| 1065 |
-
'1043': class1043
|
| 1066 |
-
'1044': class1044
|
| 1067 |
-
'1045': class1045
|
| 1068 |
-
'1046': class1046
|
| 1069 |
-
'1047': class1047
|
| 1070 |
-
'1048': class1048
|
| 1071 |
-
'1049': class1049
|
| 1072 |
-
'1050': class1050
|
| 1073 |
-
'1051': class1051
|
| 1074 |
-
'1052': class1052
|
| 1075 |
-
'1053': class1053
|
| 1076 |
-
'1054': class1054
|
| 1077 |
-
'1055': class1055
|
| 1078 |
-
'1056': class1056
|
| 1079 |
-
'1057': class1057
|
| 1080 |
-
'1058': class1058
|
| 1081 |
-
'1059': class1059
|
| 1082 |
-
'1060': class1060
|
| 1083 |
-
'1061': class1061
|
| 1084 |
-
'1062': class1062
|
| 1085 |
-
'1063': class1063
|
| 1086 |
-
'1064': class1064
|
| 1087 |
-
'1065': class1065
|
| 1088 |
-
'1066': class1066
|
| 1089 |
-
'1067': class1067
|
| 1090 |
-
'1068': class1068
|
| 1091 |
-
'1069': class1069
|
| 1092 |
-
'1070': class1070
|
| 1093 |
-
'1071': class1071
|
| 1094 |
-
'1072': class1072
|
| 1095 |
-
'1073': class1073
|
| 1096 |
-
'1074': class1074
|
| 1097 |
-
'1075': class1075
|
| 1098 |
-
'1076': class1076
|
| 1099 |
-
'1077': class1077
|
| 1100 |
-
'1078': class1078
|
| 1101 |
-
'1079': class1079
|
| 1102 |
-
'1080': class1080
|
| 1103 |
-
'1081': class1081
|
| 1104 |
-
'1082': class1082
|
| 1105 |
-
'1083': class1083
|
| 1106 |
-
'1084': class1084
|
| 1107 |
-
'1085': class1085
|
| 1108 |
-
'1086': class1086
|
| 1109 |
-
'1087': class1087
|
| 1110 |
-
'1088': class1088
|
| 1111 |
-
'1089': class1089
|
| 1112 |
-
'1090': class1090
|
| 1113 |
-
'1091': class1091
|
| 1114 |
-
'1092': class1092
|
| 1115 |
-
'1093': class1093
|
| 1116 |
-
'1094': class1094
|
| 1117 |
-
'1095': class1095
|
| 1118 |
-
'1096': class1096
|
| 1119 |
-
'1097': class1097
|
| 1120 |
-
'1098': class1098
|
| 1121 |
-
'1099': class1099
|
| 1122 |
-
'1100': class1100
|
| 1123 |
-
'1101': class1101
|
| 1124 |
-
'1102': class1102
|
| 1125 |
-
'1103': class1103
|
| 1126 |
-
'1104': class1104
|
| 1127 |
-
'1105': class1105
|
| 1128 |
-
'1106': class1106
|
| 1129 |
-
'1107': class1107
|
| 1130 |
-
'1108': class1108
|
| 1131 |
-
'1109': class1109
|
| 1132 |
-
'1110': class1110
|
| 1133 |
-
'1111': class1111
|
| 1134 |
-
'1112': class1112
|
| 1135 |
-
'1113': class1113
|
| 1136 |
-
'1114': class1114
|
| 1137 |
-
'1115': class1115
|
| 1138 |
-
'1116': class1116
|
| 1139 |
-
'1117': class1117
|
| 1140 |
-
'1118': class1118
|
| 1141 |
-
'1119': class1119
|
| 1142 |
-
'1120': class1120
|
| 1143 |
-
'1121': class1121
|
| 1144 |
-
'1122': class1122
|
| 1145 |
-
'1123': class1123
|
| 1146 |
-
'1124': class1124
|
| 1147 |
-
'1125': class1125
|
| 1148 |
-
'1126': class1126
|
| 1149 |
-
'1127': class1127
|
| 1150 |
-
'1128': class1128
|
| 1151 |
-
'1129': class1129
|
| 1152 |
-
'1130': class1130
|
| 1153 |
-
'1131': class1131
|
| 1154 |
-
'1132': class1132
|
| 1155 |
-
'1133': class1133
|
| 1156 |
-
'1134': class1134
|
| 1157 |
-
'1135': class1135
|
| 1158 |
-
'1136': class1136
|
| 1159 |
-
'1137': class1137
|
| 1160 |
-
'1138': class1138
|
| 1161 |
-
'1139': class1139
|
| 1162 |
-
'1140': class1140
|
| 1163 |
-
'1141': class1141
|
| 1164 |
-
'1142': class1142
|
| 1165 |
-
'1143': class1143
|
| 1166 |
-
'1144': class1144
|
| 1167 |
-
'1145': class1145
|
| 1168 |
-
'1146': class1146
|
| 1169 |
-
'1147': class1147
|
| 1170 |
-
'1148': class1148
|
| 1171 |
-
'1149': class1149
|
| 1172 |
-
'1150': class1150
|
| 1173 |
-
'1151': class1151
|
| 1174 |
-
'1152': class1152
|
| 1175 |
-
'1153': class1153
|
| 1176 |
-
'1154': class1154
|
| 1177 |
-
'1155': class1155
|
| 1178 |
-
'1156': class1156
|
| 1179 |
-
'1157': class1157
|
| 1180 |
-
'1158': class1158
|
| 1181 |
-
'1159': class1159
|
| 1182 |
-
'1160': class1160
|
| 1183 |
-
'1161': class1161
|
| 1184 |
-
'1162': class1162
|
| 1185 |
-
'1163': class1163
|
| 1186 |
-
'1164': class1164
|
| 1187 |
-
'1165': class1165
|
| 1188 |
-
'1166': class1166
|
| 1189 |
-
'1167': class1167
|
| 1190 |
-
'1168': class1168
|
| 1191 |
-
'1169': class1169
|
| 1192 |
-
'1170': class1170
|
| 1193 |
-
'1171': class1171
|
| 1194 |
-
'1172': class1172
|
| 1195 |
-
'1173': class1173
|
| 1196 |
-
'1174': class1174
|
| 1197 |
-
'1175': class1175
|
| 1198 |
-
'1176': class1176
|
| 1199 |
-
'1177': class1177
|
| 1200 |
-
'1178': class1178
|
| 1201 |
-
'1179': class1179
|
| 1202 |
-
'1180': class1180
|
| 1203 |
-
'1181': class1181
|
| 1204 |
-
'1182': class1182
|
| 1205 |
-
'1183': class1183
|
| 1206 |
-
'1184': class1184
|
| 1207 |
-
'1185': class1185
|
| 1208 |
-
'1186': class1186
|
| 1209 |
-
'1187': class1187
|
| 1210 |
-
'1188': class1188
|
| 1211 |
-
'1189': class1189
|
| 1212 |
-
'1190': class1190
|
| 1213 |
-
'1191': class1191
|
| 1214 |
-
'1192': class1192
|
| 1215 |
-
'1193': class1193
|
| 1216 |
-
'1194': class1194
|
| 1217 |
-
'1195': class1195
|
| 1218 |
-
'1196': class1196
|
| 1219 |
-
'1197': class1197
|
| 1220 |
-
'1198': class1198
|
| 1221 |
-
'1199': class1199
|
| 1222 |
-
'1200': class1200
|
| 1223 |
-
'1201': class1201
|
| 1224 |
-
'1202': class1202
|
| 1225 |
-
'1203': class1203
|
| 1226 |
-
'1204': class1204
|
| 1227 |
-
'1205': class1205
|
| 1228 |
-
'1206': class1206
|
| 1229 |
-
'1207': class1207
|
| 1230 |
-
'1208': class1208
|
| 1231 |
-
'1209': class1209
|
| 1232 |
-
'1210': class1210
|
| 1233 |
-
'1211': class1211
|
| 1234 |
-
'1212': class1212
|
| 1235 |
-
'1213': class1213
|
| 1236 |
-
'1214': class1214
|
| 1237 |
-
'1215': class1215
|
| 1238 |
-
'1216': class1216
|
| 1239 |
-
'1217': class1217
|
| 1240 |
-
'1218': class1218
|
| 1241 |
-
'1219': class1219
|
| 1242 |
-
'1220': class1220
|
| 1243 |
-
'1221': class1221
|
| 1244 |
-
'1222': class1222
|
| 1245 |
-
'1223': class1223
|
| 1246 |
-
'1224': class1224
|
| 1247 |
-
'1225': class1225
|
| 1248 |
-
'1226': class1226
|
| 1249 |
-
'1227': class1227
|
| 1250 |
-
'1228': class1228
|
| 1251 |
-
'1229': class1229
|
| 1252 |
-
'1230': class1230
|
| 1253 |
-
'1231': class1231
|
| 1254 |
-
'1232': class1232
|
| 1255 |
-
'1233': class1233
|
| 1256 |
-
'1234': class1234
|
| 1257 |
-
'1235': class1235
|
| 1258 |
-
'1236': class1236
|
| 1259 |
-
'1237': class1237
|
| 1260 |
-
'1238': class1238
|
| 1261 |
-
'1239': class1239
|
| 1262 |
-
'1240': class1240
|
| 1263 |
-
'1241': class1241
|
| 1264 |
-
'1242': class1242
|
| 1265 |
-
'1243': class1243
|
| 1266 |
-
'1244': class1244
|
| 1267 |
-
'1245': class1245
|
| 1268 |
-
'1246': class1246
|
| 1269 |
-
'1247': class1247
|
| 1270 |
-
'1248': class1248
|
| 1271 |
-
'1249': class1249
|
| 1272 |
-
'1250': class1250
|
| 1273 |
-
'1251': class1251
|
| 1274 |
-
'1252': class1252
|
| 1275 |
-
'1253': class1253
|
| 1276 |
-
'1254': class1254
|
| 1277 |
-
'1255': class1255
|
| 1278 |
-
'1256': class1256
|
| 1279 |
-
'1257': class1257
|
| 1280 |
-
'1258': class1258
|
| 1281 |
-
'1259': class1259
|
| 1282 |
-
'1260': class1260
|
| 1283 |
-
'1261': class1261
|
| 1284 |
-
'1262': class1262
|
| 1285 |
-
'1263': class1263
|
| 1286 |
-
'1264': class1264
|
| 1287 |
-
'1265': class1265
|
| 1288 |
-
'1266': class1266
|
| 1289 |
-
'1267': class1267
|
| 1290 |
-
'1268': class1268
|
| 1291 |
-
'1269': class1269
|
| 1292 |
-
'1270': class1270
|
| 1293 |
-
'1271': class1271
|
| 1294 |
-
'1272': class1272
|
| 1295 |
-
'1273': class1273
|
| 1296 |
-
'1274': class1274
|
| 1297 |
-
- name: Cultivar_Name
|
| 1298 |
-
dtype: string
|
| 1299 |
-
- name: Species_Name
|
| 1300 |
-
dtype: string
|
| 1301 |
-
- name: Chinese_Cultivar_Name
|
| 1302 |
-
dtype: string
|
| 1303 |
-
- name: Chinese_Species_Name
|
| 1304 |
-
dtype: string
|
| 1305 |
-
configs:
|
| 1306 |
-
- config_name: Orchid2024_full
|
| 1307 |
-
data_files:
|
| 1308 |
-
- split: train
|
| 1309 |
-
path: dataset/train.parquet
|
| 1310 |
-
- split: validation
|
| 1311 |
-
path: dataset/
|
| 1312 |
-
- split: test
|
| 1313 |
-
path: dataset/test.parquet
|
| 1314 |
-
tags:
|
| 1315 |
-
- classification
|
| 1316 |
-
- plant
|
| 1317 |
-
- fine-grained image classification
|
| 1318 |
-
---
|
| 1319 |
-
|
| 1320 |
-
# Dataset Card for Orchid2024
|
| 1321 |
-
|
| 1322 |
-
|
| 1323 |
-
|
| 1324 |
-
The Orchid2024 dataset is a fine-grained classification dataset specifically designed for cultivars of Chinese Cymbidium orchids (Chinese orchids). The dataset's samples come from 20 cities across 12 provincial-level administrative regions in China, covering 1,269 cultivars from 8 Cymbidium species, and 6 additional categories, totaling 156,630 images. The dataset nearly includes all common Chinese orchid cultivars currently found in China. Its fine-grained nature and focus on real-world scenarios make it a unique and practical resource for scientific research and real-world applications.
|
| 1325 |
-
|
| 1326 |
-
**The dataset contained in the current repository is a full version of Orchid2024 data**. The dataset authors achieved the highest Top-1 accuracy of 86.14% and a Top-5 accuracy of 95.44% on this dataset.
|
| 1327 |
-
|
| 1328 |
-
|
| 1329 |
-
## Dataset Description
|
| 1330 |
-
|
| 1331 |
-
- **Homepage:** [Orchid2024 Homepage](https://pengyingshu.github.io/orchid/Orchid2024.html)
|
| 1332 |
-
- **Repository:** [Orchid2024 Repository](https://github.com/pengyingshu/Orchid2024)
|
| 1333 |
-
- **Paper:** [Orchid2024 Paper](https://plantmethods.biomedcentral.com/articles/10.1186/s13007-024-01252-w)
|
| 1334 |
-
|
| 1335 |
-
## Dataset Features
|
| 1336 |
-
|
| 1337 |
-
+ Most existing flower or fine-grained datasets are only aimed at species-level identification (such as distinguishing different types of orchids), while Orchid2024 extends fine-grained classification to the cultivar level, i.e., detecting different cultivars within orchid species.
|
| 1338 |
-
+ Due to the high ornamental value of Chinese orchids and the large differences in value between cultivars, the dataset exhibits a significant long-tail distribution. The number of images for each cultivar in this dataset ranges from 10 to 1387, which is basically consistent with their market popularity: common cultivars have abundant images, while rare cultivars have relatively fewer.
|
| 1339 |
-
+ The Orchid2024 dataset features a two-level fine-grained classification system of species and cultivars, which can accurately identify subtle visual differences between different cultivars. This dataset covers 8 orchid species and their subordinate cultivars, some of which have significant differences, while others have similar forms; and within the same species, the difficulty of distinguishing cultivars is even higher.
|
| 1340 |
-
|
| 1341 |
-
## Dataset Format and Structure
|
| 1342 |
-
|
| 1343 |
-
### Data Format
|
| 1344 |
-
|
| 1345 |
-
The Orchid2024 dataset contains three parts: training images, training information files, and data description files. The training images are divided into training, validation, and test sets in a ratio of 6:2:2, specifically including 94,036 training samples, 31,297 validation samples, and 31,297 test samples. Each set is organized by category in the form of subfolders, covering a total of 1,275 categories, with each subfolder corresponding to a category, which stores JPG format images of the same category.
|
| 1346 |
-
|
| 1347 |
-
### Dataset Loading Method
|
| 1348 |
-
|
| 1349 |
-
You can load the specified data yourself according to actual needs. The loading method example is as follows:
|
| 1350 |
-
|
| 1351 |
-
```python
|
| 1352 |
-
from datasets import load_dataset
|
| 1353 |
-
|
| 1354 |
-
dataset = load_dataset("HelloPlant/Orchid2024")
|
| 1355 |
-
# check dataset splits
|
| 1356 |
-
print(dataset.keys())
|
| 1357 |
-
# View the first sample in the train set
|
| 1358 |
-
print(dataset["train"][0])
|
| 1359 |
-
print(f"Dataset size: {len(dataset['train'])}")
|
| 1360 |
-
|
| 1361 |
-
# Iterate through each image in the test dataset
|
| 1362 |
-
for data in dataset['test']:
|
| 1363 |
-
# Get training data
|
| 1364 |
-
img = data['Img'] # Get image data
|
| 1365 |
-
label = data['Label'] # Category label ID corresponding to the image
|
| 1366 |
-
# Get attribute data attached to the image
|
| 1367 |
-
class_name = data['Class_Name'] # Get class name
|
| 1368 |
-
cultivar_name = data['Cultivar_Name'] # Get cultivar name (English)
|
| 1369 |
-
species_name = data['Species_Name'] # Get species name (English)
|
| 1370 |
-
Chinese_cultivar_name = data['Chinese_Cultivar_Name'] # Get cultivar name (Chinese)
|
| 1371 |
-
Chinese_species_name = data['Chinese_Species_Name'] # Get species name (Chinese)
|
| 1372 |
-
# Perform subsequent processing...
|
| 1373 |
-
break # Only display the first piece of data
|
| 1374 |
-
```
|
| 1375 |
-
|
| 1376 |
-
## Citation Information
|
| 1377 |
-
|
| 1378 |
-
If this dataset is helpful to you, please cite the following related paper:
|
| 1379 |
-
|
| 1380 |
-
```BibTeX
|
| 1381 |
-
@article{Peng2024Orchid,
|
| 1382 |
-
title={Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids},
|
| 1383 |
-
author={Peng, Yingshu and Zhou, Yuxia and Zhang, Li and Fu, Hongyan and Tang, Guimei and Huang, Guolin and Li, Weidong},
|
| 1384 |
-
journal={Plant Methods},
|
| 1385 |
-
volume={20},
|
| 1386 |
-
number={1},
|
| 1387 |
-
pages={124},
|
| 1388 |
-
year={2024},
|
| 1389 |
-
}
|
| 1390 |
```
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
- zh
|
| 5 |
+
license: cc-by-nc-nd-4.0
|
| 6 |
+
size_categories:
|
| 7 |
+
- 10K<n<100K
|
| 8 |
+
task_categories:
|
| 9 |
+
- image-classification
|
| 10 |
+
pretty_name: Orchid2024_full
|
| 11 |
+
dataset_info:
|
| 12 |
+
- config_name: Orchid2024_full
|
| 13 |
+
features:
|
| 14 |
+
- name: Class_Name
|
| 15 |
+
dtype: string
|
| 16 |
+
- name: Img
|
| 17 |
+
dtype: image
|
| 18 |
+
- name: Label
|
| 19 |
+
dtype:
|
| 20 |
+
class_label:
|
| 21 |
+
names:
|
| 22 |
+
'0': class0000
|
| 23 |
+
'1': class0001
|
| 24 |
+
'2': class0002
|
| 25 |
+
'3': class0003
|
| 26 |
+
'4': class0004
|
| 27 |
+
'5': class0005
|
| 28 |
+
'6': class0006
|
| 29 |
+
'7': class0007
|
| 30 |
+
'8': class0008
|
| 31 |
+
'9': class0009
|
| 32 |
+
'10': class0010
|
| 33 |
+
'11': class0011
|
| 34 |
+
'12': class0012
|
| 35 |
+
'13': class0013
|
| 36 |
+
'14': class0014
|
| 37 |
+
'15': class0015
|
| 38 |
+
'16': class0016
|
| 39 |
+
'17': class0017
|
| 40 |
+
'18': class0018
|
| 41 |
+
'19': class0019
|
| 42 |
+
'20': class0020
|
| 43 |
+
'21': class0021
|
| 44 |
+
'22': class0022
|
| 45 |
+
'23': class0023
|
| 46 |
+
'24': class0024
|
| 47 |
+
'25': class0025
|
| 48 |
+
'26': class0026
|
| 49 |
+
'27': class0027
|
| 50 |
+
'28': class0028
|
| 51 |
+
'29': class0029
|
| 52 |
+
'30': class0030
|
| 53 |
+
'31': class0031
|
| 54 |
+
'32': class0032
|
| 55 |
+
'33': class0033
|
| 56 |
+
'34': class0034
|
| 57 |
+
'35': class0035
|
| 58 |
+
'36': class0036
|
| 59 |
+
'37': class0037
|
| 60 |
+
'38': class0038
|
| 61 |
+
'39': class0039
|
| 62 |
+
'40': class0040
|
| 63 |
+
'41': class0041
|
| 64 |
+
'42': class0042
|
| 65 |
+
'43': class0043
|
| 66 |
+
'44': class0044
|
| 67 |
+
'45': class0045
|
| 68 |
+
'46': class0046
|
| 69 |
+
'47': class0047
|
| 70 |
+
'48': class0048
|
| 71 |
+
'49': class0049
|
| 72 |
+
'50': class0050
|
| 73 |
+
'51': class0051
|
| 74 |
+
'52': class0052
|
| 75 |
+
'53': class0053
|
| 76 |
+
'54': class0054
|
| 77 |
+
'55': class0055
|
| 78 |
+
'56': class0056
|
| 79 |
+
'57': class0057
|
| 80 |
+
'58': class0058
|
| 81 |
+
'59': class0059
|
| 82 |
+
'60': class0060
|
| 83 |
+
'61': class0061
|
| 84 |
+
'62': class0062
|
| 85 |
+
'63': class0063
|
| 86 |
+
'64': class0064
|
| 87 |
+
'65': class0065
|
| 88 |
+
'66': class0066
|
| 89 |
+
'67': class0067
|
| 90 |
+
'68': class0068
|
| 91 |
+
'69': class0069
|
| 92 |
+
'70': class0070
|
| 93 |
+
'71': class0071
|
| 94 |
+
'72': class0072
|
| 95 |
+
'73': class0073
|
| 96 |
+
'74': class0074
|
| 97 |
+
'75': class0075
|
| 98 |
+
'76': class0076
|
| 99 |
+
'77': class0077
|
| 100 |
+
'78': class0078
|
| 101 |
+
'79': class0079
|
| 102 |
+
'80': class0080
|
| 103 |
+
'81': class0081
|
| 104 |
+
'82': class0082
|
| 105 |
+
'83': class0083
|
| 106 |
+
'84': class0084
|
| 107 |
+
'85': class0085
|
| 108 |
+
'86': class0086
|
| 109 |
+
'87': class0087
|
| 110 |
+
'88': class0088
|
| 111 |
+
'89': class0089
|
| 112 |
+
'90': class0090
|
| 113 |
+
'91': class0091
|
| 114 |
+
'92': class0092
|
| 115 |
+
'93': class0093
|
| 116 |
+
'94': class0094
|
| 117 |
+
'95': class0095
|
| 118 |
+
'96': class0096
|
| 119 |
+
'97': class0097
|
| 120 |
+
'98': class0098
|
| 121 |
+
'99': class0099
|
| 122 |
+
'100': class0100
|
| 123 |
+
'101': class0101
|
| 124 |
+
'102': class0102
|
| 125 |
+
'103': class0103
|
| 126 |
+
'104': class0104
|
| 127 |
+
'105': class0105
|
| 128 |
+
'106': class0106
|
| 129 |
+
'107': class0107
|
| 130 |
+
'108': class0108
|
| 131 |
+
'109': class0109
|
| 132 |
+
'110': class0110
|
| 133 |
+
'111': class0111
|
| 134 |
+
'112': class0112
|
| 135 |
+
'113': class0113
|
| 136 |
+
'114': class0114
|
| 137 |
+
'115': class0115
|
| 138 |
+
'116': class0116
|
| 139 |
+
'117': class0117
|
| 140 |
+
'118': class0118
|
| 141 |
+
'119': class0119
|
| 142 |
+
'120': class0120
|
| 143 |
+
'121': class0121
|
| 144 |
+
'122': class0122
|
| 145 |
+
'123': class0123
|
| 146 |
+
'124': class0124
|
| 147 |
+
'125': class0125
|
| 148 |
+
'126': class0126
|
| 149 |
+
'127': class0127
|
| 150 |
+
'128': class0128
|
| 151 |
+
'129': class0129
|
| 152 |
+
'130': class0130
|
| 153 |
+
'131': class0131
|
| 154 |
+
'132': class0132
|
| 155 |
+
'133': class0133
|
| 156 |
+
'134': class0134
|
| 157 |
+
'135': class0135
|
| 158 |
+
'136': class0136
|
| 159 |
+
'137': class0137
|
| 160 |
+
'138': class0138
|
| 161 |
+
'139': class0139
|
| 162 |
+
'140': class0140
|
| 163 |
+
'141': class0141
|
| 164 |
+
'142': class0142
|
| 165 |
+
'143': class0143
|
| 166 |
+
'144': class0144
|
| 167 |
+
'145': class0145
|
| 168 |
+
'146': class0146
|
| 169 |
+
'147': class0147
|
| 170 |
+
'148': class0148
|
| 171 |
+
'149': class0149
|
| 172 |
+
'150': class0150
|
| 173 |
+
'151': class0151
|
| 174 |
+
'152': class0152
|
| 175 |
+
'153': class0153
|
| 176 |
+
'154': class0154
|
| 177 |
+
'155': class0155
|
| 178 |
+
'156': class0156
|
| 179 |
+
'157': class0157
|
| 180 |
+
'158': class0158
|
| 181 |
+
'159': class0159
|
| 182 |
+
'160': class0160
|
| 183 |
+
'161': class0161
|
| 184 |
+
'162': class0162
|
| 185 |
+
'163': class0163
|
| 186 |
+
'164': class0164
|
| 187 |
+
'165': class0165
|
| 188 |
+
'166': class0166
|
| 189 |
+
'167': class0167
|
| 190 |
+
'168': class0168
|
| 191 |
+
'169': class0169
|
| 192 |
+
'170': class0170
|
| 193 |
+
'171': class0171
|
| 194 |
+
'172': class0172
|
| 195 |
+
'173': class0173
|
| 196 |
+
'174': class0174
|
| 197 |
+
'175': class0175
|
| 198 |
+
'176': class0176
|
| 199 |
+
'177': class0177
|
| 200 |
+
'178': class0178
|
| 201 |
+
'179': class0179
|
| 202 |
+
'180': class0180
|
| 203 |
+
'181': class0181
|
| 204 |
+
'182': class0182
|
| 205 |
+
'183': class0183
|
| 206 |
+
'184': class0184
|
| 207 |
+
'185': class0185
|
| 208 |
+
'186': class0186
|
| 209 |
+
'187': class0187
|
| 210 |
+
'188': class0188
|
| 211 |
+
'189': class0189
|
| 212 |
+
'190': class0190
|
| 213 |
+
'191': class0191
|
| 214 |
+
'192': class0192
|
| 215 |
+
'193': class0193
|
| 216 |
+
'194': class0194
|
| 217 |
+
'195': class0195
|
| 218 |
+
'196': class0196
|
| 219 |
+
'197': class0197
|
| 220 |
+
'198': class0198
|
| 221 |
+
'199': class0199
|
| 222 |
+
'200': class0200
|
| 223 |
+
'201': class0201
|
| 224 |
+
'202': class0202
|
| 225 |
+
'203': class0203
|
| 226 |
+
'204': class0204
|
| 227 |
+
'205': class0205
|
| 228 |
+
'206': class0206
|
| 229 |
+
'207': class0207
|
| 230 |
+
'208': class0208
|
| 231 |
+
'209': class0209
|
| 232 |
+
'210': class0210
|
| 233 |
+
'211': class0211
|
| 234 |
+
'212': class0212
|
| 235 |
+
'213': class0213
|
| 236 |
+
'214': class0214
|
| 237 |
+
'215': class0215
|
| 238 |
+
'216': class0216
|
| 239 |
+
'217': class0217
|
| 240 |
+
'218': class0218
|
| 241 |
+
'219': class0219
|
| 242 |
+
'220': class0220
|
| 243 |
+
'221': class0221
|
| 244 |
+
'222': class0222
|
| 245 |
+
'223': class0223
|
| 246 |
+
'224': class0224
|
| 247 |
+
'225': class0225
|
| 248 |
+
'226': class0226
|
| 249 |
+
'227': class0227
|
| 250 |
+
'228': class0228
|
| 251 |
+
'229': class0229
|
| 252 |
+
'230': class0230
|
| 253 |
+
'231': class0231
|
| 254 |
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| 1083 |
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'1061': class1061
|
| 1084 |
+
'1062': class1062
|
| 1085 |
+
'1063': class1063
|
| 1086 |
+
'1064': class1064
|
| 1087 |
+
'1065': class1065
|
| 1088 |
+
'1066': class1066
|
| 1089 |
+
'1067': class1067
|
| 1090 |
+
'1068': class1068
|
| 1091 |
+
'1069': class1069
|
| 1092 |
+
'1070': class1070
|
| 1093 |
+
'1071': class1071
|
| 1094 |
+
'1072': class1072
|
| 1095 |
+
'1073': class1073
|
| 1096 |
+
'1074': class1074
|
| 1097 |
+
'1075': class1075
|
| 1098 |
+
'1076': class1076
|
| 1099 |
+
'1077': class1077
|
| 1100 |
+
'1078': class1078
|
| 1101 |
+
'1079': class1079
|
| 1102 |
+
'1080': class1080
|
| 1103 |
+
'1081': class1081
|
| 1104 |
+
'1082': class1082
|
| 1105 |
+
'1083': class1083
|
| 1106 |
+
'1084': class1084
|
| 1107 |
+
'1085': class1085
|
| 1108 |
+
'1086': class1086
|
| 1109 |
+
'1087': class1087
|
| 1110 |
+
'1088': class1088
|
| 1111 |
+
'1089': class1089
|
| 1112 |
+
'1090': class1090
|
| 1113 |
+
'1091': class1091
|
| 1114 |
+
'1092': class1092
|
| 1115 |
+
'1093': class1093
|
| 1116 |
+
'1094': class1094
|
| 1117 |
+
'1095': class1095
|
| 1118 |
+
'1096': class1096
|
| 1119 |
+
'1097': class1097
|
| 1120 |
+
'1098': class1098
|
| 1121 |
+
'1099': class1099
|
| 1122 |
+
'1100': class1100
|
| 1123 |
+
'1101': class1101
|
| 1124 |
+
'1102': class1102
|
| 1125 |
+
'1103': class1103
|
| 1126 |
+
'1104': class1104
|
| 1127 |
+
'1105': class1105
|
| 1128 |
+
'1106': class1106
|
| 1129 |
+
'1107': class1107
|
| 1130 |
+
'1108': class1108
|
| 1131 |
+
'1109': class1109
|
| 1132 |
+
'1110': class1110
|
| 1133 |
+
'1111': class1111
|
| 1134 |
+
'1112': class1112
|
| 1135 |
+
'1113': class1113
|
| 1136 |
+
'1114': class1114
|
| 1137 |
+
'1115': class1115
|
| 1138 |
+
'1116': class1116
|
| 1139 |
+
'1117': class1117
|
| 1140 |
+
'1118': class1118
|
| 1141 |
+
'1119': class1119
|
| 1142 |
+
'1120': class1120
|
| 1143 |
+
'1121': class1121
|
| 1144 |
+
'1122': class1122
|
| 1145 |
+
'1123': class1123
|
| 1146 |
+
'1124': class1124
|
| 1147 |
+
'1125': class1125
|
| 1148 |
+
'1126': class1126
|
| 1149 |
+
'1127': class1127
|
| 1150 |
+
'1128': class1128
|
| 1151 |
+
'1129': class1129
|
| 1152 |
+
'1130': class1130
|
| 1153 |
+
'1131': class1131
|
| 1154 |
+
'1132': class1132
|
| 1155 |
+
'1133': class1133
|
| 1156 |
+
'1134': class1134
|
| 1157 |
+
'1135': class1135
|
| 1158 |
+
'1136': class1136
|
| 1159 |
+
'1137': class1137
|
| 1160 |
+
'1138': class1138
|
| 1161 |
+
'1139': class1139
|
| 1162 |
+
'1140': class1140
|
| 1163 |
+
'1141': class1141
|
| 1164 |
+
'1142': class1142
|
| 1165 |
+
'1143': class1143
|
| 1166 |
+
'1144': class1144
|
| 1167 |
+
'1145': class1145
|
| 1168 |
+
'1146': class1146
|
| 1169 |
+
'1147': class1147
|
| 1170 |
+
'1148': class1148
|
| 1171 |
+
'1149': class1149
|
| 1172 |
+
'1150': class1150
|
| 1173 |
+
'1151': class1151
|
| 1174 |
+
'1152': class1152
|
| 1175 |
+
'1153': class1153
|
| 1176 |
+
'1154': class1154
|
| 1177 |
+
'1155': class1155
|
| 1178 |
+
'1156': class1156
|
| 1179 |
+
'1157': class1157
|
| 1180 |
+
'1158': class1158
|
| 1181 |
+
'1159': class1159
|
| 1182 |
+
'1160': class1160
|
| 1183 |
+
'1161': class1161
|
| 1184 |
+
'1162': class1162
|
| 1185 |
+
'1163': class1163
|
| 1186 |
+
'1164': class1164
|
| 1187 |
+
'1165': class1165
|
| 1188 |
+
'1166': class1166
|
| 1189 |
+
'1167': class1167
|
| 1190 |
+
'1168': class1168
|
| 1191 |
+
'1169': class1169
|
| 1192 |
+
'1170': class1170
|
| 1193 |
+
'1171': class1171
|
| 1194 |
+
'1172': class1172
|
| 1195 |
+
'1173': class1173
|
| 1196 |
+
'1174': class1174
|
| 1197 |
+
'1175': class1175
|
| 1198 |
+
'1176': class1176
|
| 1199 |
+
'1177': class1177
|
| 1200 |
+
'1178': class1178
|
| 1201 |
+
'1179': class1179
|
| 1202 |
+
'1180': class1180
|
| 1203 |
+
'1181': class1181
|
| 1204 |
+
'1182': class1182
|
| 1205 |
+
'1183': class1183
|
| 1206 |
+
'1184': class1184
|
| 1207 |
+
'1185': class1185
|
| 1208 |
+
'1186': class1186
|
| 1209 |
+
'1187': class1187
|
| 1210 |
+
'1188': class1188
|
| 1211 |
+
'1189': class1189
|
| 1212 |
+
'1190': class1190
|
| 1213 |
+
'1191': class1191
|
| 1214 |
+
'1192': class1192
|
| 1215 |
+
'1193': class1193
|
| 1216 |
+
'1194': class1194
|
| 1217 |
+
'1195': class1195
|
| 1218 |
+
'1196': class1196
|
| 1219 |
+
'1197': class1197
|
| 1220 |
+
'1198': class1198
|
| 1221 |
+
'1199': class1199
|
| 1222 |
+
'1200': class1200
|
| 1223 |
+
'1201': class1201
|
| 1224 |
+
'1202': class1202
|
| 1225 |
+
'1203': class1203
|
| 1226 |
+
'1204': class1204
|
| 1227 |
+
'1205': class1205
|
| 1228 |
+
'1206': class1206
|
| 1229 |
+
'1207': class1207
|
| 1230 |
+
'1208': class1208
|
| 1231 |
+
'1209': class1209
|
| 1232 |
+
'1210': class1210
|
| 1233 |
+
'1211': class1211
|
| 1234 |
+
'1212': class1212
|
| 1235 |
+
'1213': class1213
|
| 1236 |
+
'1214': class1214
|
| 1237 |
+
'1215': class1215
|
| 1238 |
+
'1216': class1216
|
| 1239 |
+
'1217': class1217
|
| 1240 |
+
'1218': class1218
|
| 1241 |
+
'1219': class1219
|
| 1242 |
+
'1220': class1220
|
| 1243 |
+
'1221': class1221
|
| 1244 |
+
'1222': class1222
|
| 1245 |
+
'1223': class1223
|
| 1246 |
+
'1224': class1224
|
| 1247 |
+
'1225': class1225
|
| 1248 |
+
'1226': class1226
|
| 1249 |
+
'1227': class1227
|
| 1250 |
+
'1228': class1228
|
| 1251 |
+
'1229': class1229
|
| 1252 |
+
'1230': class1230
|
| 1253 |
+
'1231': class1231
|
| 1254 |
+
'1232': class1232
|
| 1255 |
+
'1233': class1233
|
| 1256 |
+
'1234': class1234
|
| 1257 |
+
'1235': class1235
|
| 1258 |
+
'1236': class1236
|
| 1259 |
+
'1237': class1237
|
| 1260 |
+
'1238': class1238
|
| 1261 |
+
'1239': class1239
|
| 1262 |
+
'1240': class1240
|
| 1263 |
+
'1241': class1241
|
| 1264 |
+
'1242': class1242
|
| 1265 |
+
'1243': class1243
|
| 1266 |
+
'1244': class1244
|
| 1267 |
+
'1245': class1245
|
| 1268 |
+
'1246': class1246
|
| 1269 |
+
'1247': class1247
|
| 1270 |
+
'1248': class1248
|
| 1271 |
+
'1249': class1249
|
| 1272 |
+
'1250': class1250
|
| 1273 |
+
'1251': class1251
|
| 1274 |
+
'1252': class1252
|
| 1275 |
+
'1253': class1253
|
| 1276 |
+
'1254': class1254
|
| 1277 |
+
'1255': class1255
|
| 1278 |
+
'1256': class1256
|
| 1279 |
+
'1257': class1257
|
| 1280 |
+
'1258': class1258
|
| 1281 |
+
'1259': class1259
|
| 1282 |
+
'1260': class1260
|
| 1283 |
+
'1261': class1261
|
| 1284 |
+
'1262': class1262
|
| 1285 |
+
'1263': class1263
|
| 1286 |
+
'1264': class1264
|
| 1287 |
+
'1265': class1265
|
| 1288 |
+
'1266': class1266
|
| 1289 |
+
'1267': class1267
|
| 1290 |
+
'1268': class1268
|
| 1291 |
+
'1269': class1269
|
| 1292 |
+
'1270': class1270
|
| 1293 |
+
'1271': class1271
|
| 1294 |
+
'1272': class1272
|
| 1295 |
+
'1273': class1273
|
| 1296 |
+
'1274': class1274
|
| 1297 |
+
- name: Cultivar_Name
|
| 1298 |
+
dtype: string
|
| 1299 |
+
- name: Species_Name
|
| 1300 |
+
dtype: string
|
| 1301 |
+
- name: Chinese_Cultivar_Name
|
| 1302 |
+
dtype: string
|
| 1303 |
+
- name: Chinese_Species_Name
|
| 1304 |
+
dtype: string
|
| 1305 |
+
configs:
|
| 1306 |
+
- config_name: Orchid2024_full
|
| 1307 |
+
data_files:
|
| 1308 |
+
- split: train
|
| 1309 |
+
path: dataset/train.parquet
|
| 1310 |
+
- split: validation
|
| 1311 |
+
path: dataset/val.parquet
|
| 1312 |
+
- split: test
|
| 1313 |
+
path: dataset/test.parquet
|
| 1314 |
+
tags:
|
| 1315 |
+
- classification
|
| 1316 |
+
- plant
|
| 1317 |
+
- fine-grained image classification
|
| 1318 |
+
---
|
| 1319 |
+
|
| 1320 |
+
# Dataset Card for Orchid2024
|
| 1321 |
+
|
| 1322 |
+
|
| 1323 |
+
|
| 1324 |
+
The Orchid2024 dataset is a fine-grained classification dataset specifically designed for cultivars of Chinese Cymbidium orchids (Chinese orchids). The dataset's samples come from 20 cities across 12 provincial-level administrative regions in China, covering 1,269 cultivars from 8 Cymbidium species, and 6 additional categories, totaling 156,630 images. The dataset nearly includes all common Chinese orchid cultivars currently found in China. Its fine-grained nature and focus on real-world scenarios make it a unique and practical resource for scientific research and real-world applications.
|
| 1325 |
+
|
| 1326 |
+
**The dataset contained in the current repository is a full version of Orchid2024 data**. The dataset authors achieved the highest Top-1 accuracy of 86.14% and a Top-5 accuracy of 95.44% on this dataset.
|
| 1327 |
+
|
| 1328 |
+
|
| 1329 |
+
## Dataset Description
|
| 1330 |
+
|
| 1331 |
+
- **Homepage:** [Orchid2024 Homepage](https://pengyingshu.github.io/orchid/Orchid2024.html)
|
| 1332 |
+
- **Repository:** [Orchid2024 Repository](https://github.com/pengyingshu/Orchid2024)
|
| 1333 |
+
- **Paper:** [Orchid2024 Paper](https://plantmethods.biomedcentral.com/articles/10.1186/s13007-024-01252-w)
|
| 1334 |
+
|
| 1335 |
+
## Dataset Features
|
| 1336 |
+
|
| 1337 |
+
+ Most existing flower or fine-grained datasets are only aimed at species-level identification (such as distinguishing different types of orchids), while Orchid2024 extends fine-grained classification to the cultivar level, i.e., detecting different cultivars within orchid species.
|
| 1338 |
+
+ Due to the high ornamental value of Chinese orchids and the large differences in value between cultivars, the dataset exhibits a significant long-tail distribution. The number of images for each cultivar in this dataset ranges from 10 to 1387, which is basically consistent with their market popularity: common cultivars have abundant images, while rare cultivars have relatively fewer.
|
| 1339 |
+
+ The Orchid2024 dataset features a two-level fine-grained classification system of species and cultivars, which can accurately identify subtle visual differences between different cultivars. This dataset covers 8 orchid species and their subordinate cultivars, some of which have significant differences, while others have similar forms; and within the same species, the difficulty of distinguishing cultivars is even higher.
|
| 1340 |
+
|
| 1341 |
+
## Dataset Format and Structure
|
| 1342 |
+
|
| 1343 |
+
### Data Format
|
| 1344 |
+
|
| 1345 |
+
The Orchid2024 dataset contains three parts: training images, training information files, and data description files. The training images are divided into training, validation, and test sets in a ratio of 6:2:2, specifically including 94,036 training samples, 31,297 validation samples, and 31,297 test samples. Each set is organized by category in the form of subfolders, covering a total of 1,275 categories, with each subfolder corresponding to a category, which stores JPG format images of the same category.
|
| 1346 |
+
|
| 1347 |
+
### Dataset Loading Method
|
| 1348 |
+
|
| 1349 |
+
You can load the specified data yourself according to actual needs. The loading method example is as follows:
|
| 1350 |
+
|
| 1351 |
+
```python
|
| 1352 |
+
from datasets import load_dataset
|
| 1353 |
+
|
| 1354 |
+
dataset = load_dataset("HelloPlant/Orchid2024")
|
| 1355 |
+
# check dataset splits
|
| 1356 |
+
print(dataset.keys())
|
| 1357 |
+
# View the first sample in the train set
|
| 1358 |
+
print(dataset["train"][0])
|
| 1359 |
+
print(f"Dataset size: {len(dataset['train'])}")
|
| 1360 |
+
|
| 1361 |
+
# Iterate through each image in the test dataset
|
| 1362 |
+
for data in dataset['test']:
|
| 1363 |
+
# Get training data
|
| 1364 |
+
img = data['Img'] # Get image data
|
| 1365 |
+
label = data['Label'] # Category label ID corresponding to the image
|
| 1366 |
+
# Get attribute data attached to the image
|
| 1367 |
+
class_name = data['Class_Name'] # Get class name
|
| 1368 |
+
cultivar_name = data['Cultivar_Name'] # Get cultivar name (English)
|
| 1369 |
+
species_name = data['Species_Name'] # Get species name (English)
|
| 1370 |
+
Chinese_cultivar_name = data['Chinese_Cultivar_Name'] # Get cultivar name (Chinese)
|
| 1371 |
+
Chinese_species_name = data['Chinese_Species_Name'] # Get species name (Chinese)
|
| 1372 |
+
# Perform subsequent processing...
|
| 1373 |
+
break # Only display the first piece of data
|
| 1374 |
+
```
|
| 1375 |
+
|
| 1376 |
+
## Citation Information
|
| 1377 |
+
|
| 1378 |
+
If this dataset is helpful to you, please cite the following related paper:
|
| 1379 |
+
|
| 1380 |
+
```BibTeX
|
| 1381 |
+
@article{Peng2024Orchid,
|
| 1382 |
+
title={Orchid2024: A cultivar-level dataset and methodology for fine-grained classification of Chinese Cymbidium Orchids},
|
| 1383 |
+
author={Peng, Yingshu and Zhou, Yuxia and Zhang, Li and Fu, Hongyan and Tang, Guimei and Huang, Guolin and Li, Weidong},
|
| 1384 |
+
journal={Plant Methods},
|
| 1385 |
+
volume={20},
|
| 1386 |
+
number={1},
|
| 1387 |
+
pages={124},
|
| 1388 |
+
year={2024},
|
| 1389 |
+
}
|
| 1390 |
```
|