-
Notifications
You must be signed in to change notification settings - Fork 0
/
eval_train.yml
461 lines (410 loc) · 8.07 KB
/
eval_train.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
---
# get the features of the following tasks
# Caltech-101
vtab/caltech101:
name: Caltech-101
size: 6085
main_metric: mean_per_class_recall
time: 29
num_classes: 102
random_score: 0.009804
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-caltech101
split: train
# CIFAR-10
cifar10:
name: CIFAR-10
size: 10000
time: 18
num_classes: 10
random_score: 0.100000
tags: []
download: clip-benchmark/wds_vtab-cifar10
split: train
# CIFAR-100
vtab/cifar100:
name: CIFAR-100
size: 10000
time: 18
num_classes: 100
random_score: 0.010000
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-cifar100
split: train
# CLEVR Counts
vtab/clevr_count_all:
name: CLEVR Counts
size: 15000
time: 64
num_classes: 8
random_score: 0.125061
tags:
- vtab_structured
download: clip-benchmark/wds_vtab-clevr_count_all
split: train
# CLEVR Distance
vtab/clevr_closest_object_distance:
name: CLEVR Distance
size: 15000
time: 64
num_classes: 6
random_score: 0.190520
tags:
- vtab_structured
download: clip-benchmark/wds_vtab-clevr_closest_object_distance
split: train
# Country211
country211:
name: Country211
size: 21100
time: 66
num_classes: 211
random_score: 0.004739
tags: []
download: clip-benchmark/wds_country211
split: train
# Describable Textures
vtab/dtd:
name: Describable Textures
size: 1880
time: 17
num_classes: 47
random_score: 0.021277
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-dtd
split: train
# EuroSAT
vtab/eurosat:
name: EuroSAT
size: 5400
time: 12
num_classes: 10
random_score: 0.101483
tags:
- vtab_specialized
download: clip-benchmark/wds_vtab-eurosat
split: train
# FGVC Aircraft
fgvc_aircraft:
name: FGVC Aircraft
size: 3333
main_metric: mean_per_class_recall
time: 40
num_classes: 100
random_score: 0.010000
tags: []
download: clip-benchmark/wds_fgvc_aircraft
split: train
# Food-101
food101:
name: Food-101
size: 25250
time: 101
num_classes: 101
random_score: 0.009901
tags: []
download: clip-benchmark/wds_food101
split: train
# GTSRB
gtsrb:
name: GTSRB
size: 12630
time: 20
num_classes: 43
random_score: 0.037604
tags: []
download: clip-benchmark/wds_gtsrb
split: train
# KITTI Vehicle Distance
vtab/kitti_closest_vehicle_distance:
name: KITTI Vehicle Distance
size: 711
time: 16
num_classes: 4
random_score: 0.295289
tags:
- vtab_structured
download: clip-benchmark/wds_vtab-kitti_closest_vehicle_distance
split: train
# MNIST
mnist:
name: MNIST
size: 10000
time: 20
num_classes: 10
random_score: 0.100350
tags: []
download: clip-benchmark/wds_mnist
split: train
# Oxford Flowers-102
vtab/flowers:
name: Oxford Flowers-102
size: 6149
main_metric: mean_per_class_recall
time: 51
num_classes: 102
random_score: 0.009804
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-flowers
split: train
# Oxford-IIIT Pet
vtab/pets:
name: Oxford-IIIT Pet
size: 3669
main_metric: mean_per_class_recall
time: 34
num_classes: 37
random_score: 0.027027
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-pets
split: train
# Pascal VOC 2007
voc2007:
name: Pascal VOC 2007
size: 14976
time: 41
num_classes: 20
random_score: 0.154038
tags: []
download: clip-benchmark/wds_voc2007
split: train
# PatchCamelyon
vtab/pcam:
name: PatchCamelyon
size: 32768
time: 38
num_classes: 2
random_score: 0.500000
tags:
- vtab_specialized
download: clip-benchmark/wds_vtab-pcam
split: train
# Rendered SST2
renderedsst2:
name: Rendered SST2
size: 1821
time: 10
num_classes: 2
random_score: 0.500001
tags: []
download: clip-benchmark/wds_renderedsst2
split: train
# RESISC45
vtab/resisc45:
name: RESISC45
size: 6300
time: 28
num_classes: 45
random_score: 0.022342
tags:
- vtab_specialized
download: clip-benchmark/wds_vtab-resisc45
split: train
# Stanford Cars
cars:
name: Stanford Cars
size: 8041
time: 59
num_classes: 196
random_score: 0.005160
tags: []
download: clip-benchmark/wds_cars
split: train
# STL-10
stl10:
name: STL-10
size: 8000
time: 20
num_classes: 10
random_score: 0.100000
tags: []
download: clip-benchmark/wds_stl10
split: train
# SVHN
vtab/svhn:
name: SVHN
size: 26032
time: 39
num_classes: 10
random_score: 0.117897
tags:
- vtab_natural
download: clip-benchmark/wds_vtab-svhn
split: train
ImageNet 1k # first skip, need to contain later
imagenet1k:
name: ImageNet 1k
size: 50000
time: 136
num_classes: 1000
random_score: 0.001000
tags: []
download: clip-benchmark/wds_imagenet1k
split: train
# Retrieval datasets
# Flickr30k
retrieval/flickr_1k_test_image_text_retrieval:
name: Flickr
size: 1000
main_metric: mean_recall@1
time: 20
tags:
- retrieval
download: clip-benchmark/wds_flickr8k # 7k training
split: train
# download: clip-benchmark/wds_flickr30k # 29k training
# ImageNet Sketch # for all imagenet, because they are all test set. we dont need to use them
# imagenet_sketch:
# name: ImageNet Sketch
# size: 50889
# time: 249
# num_classes: 1000
# random_score: 0.001000
# tags: []
# download: clip-benchmark/wds_imagenet_sketch
# split: train
# # ImageNet v2
# imagenetv2:
# name: ImageNet v2
# size: 10000
# time: 50
# num_classes: 1000
# random_score: 0.001000
# tags: []
# download: clip-benchmark/wds_imagenetv2
# split: train
# # ImageNet-A
# imagenet-a:
# name: ImageNet-A
# size: 7500
# time: 47
# num_classes: 200
# random_score: 0.008056
# tags: []
# download: clip-benchmark/wds_imagenet-a
# split: train
# # ImageNet-O
# imagenet-o:
# name: ImageNet-O
# size: 2000
# time: 19
# num_classes: 200
# random_score: 0.006047
# tags: []
# download: clip-benchmark/wds_imagenet-o
# split: train
# ImageNet-R
# imagenet-r:
# name: ImageNet-R
# size: 30000
# time: 148
# num_classes: 200
# random_score: 0.006163
# tags: []
# download: clip-benchmark/wds_imagenet-r
# split: train
# ObjectNet # fail
# objectnet:
# name: ObjectNet
# size: 18574
# time: 317
# num_classes: 113
# random_score: 0.009481
# tags: []
# download: clip-benchmark/wds_objectnet
# split: train
# # SUN397 # fail
# sun397:
# name: SUN397
# size: 108754
# time: 923
# num_classes: 397
# random_score: 0.004645
# tags:
# - vtab_natural
# download: clip-benchmark/wds_sun397
# split: train
# MSCOCO # fail
# retrieval/mscoco_2014_5k_test_image_text_retrieval:
# name: MSCOCO
# size: 5000
# main_metric: mean_recall@1
# time: 23
# tags:
# - retrieval
# download: clip-benchmark/wds_mscoco_captions
# split: train
# WinoGAViL # fail
# misc/winogavil:
# name: WinoGAViL
# size: 3563
# main_metric: jaccard_score_10-12
# time: 1096
# random_score: 0.205000
# tags:
# - retrieval
# download: nlphuji/winogavil
# split: train
# WILDS datasets
# iWildCam # fail
# wilds/iwildcam:
# name: iWildCam
# size: 42791
# main_metric: F1-macro_all
# time: 251
# num_classes: 182
# random_score: 0.143056
# tags:
# - wilds
# download: kiyoonkim/iwildcam-2022-splits # just 1.42k training, not good. need more
# split: train
# Camelyon17 # fail to retreive
# wilds/camelyon17:
# name: Camelyon17
# size: 85054
# time: 212
# num_classes: 2
# random_score: 0.500000
# tags:
# - wilds
# download: wltjr1007/Camelyon17-WILDS
# split: train
# FMoW # fail to retreive
# wilds/fmow:
# name: FMoW
# size: 22108
# main_metric: acc_worst_region
# time: 88
# num_classes: 62
# random_score: 0.027193
# tags:
# - wilds
# download: danielz01/fMoW
# split: val
# Fairness datasets
# Dollar Street: split is very strange, fail
# fairness/dollar_street:
# name: Dollar Street
# size: 3503
# main_metric: acc_top5_wg
# time: 404
# num_classes: 58
# tags:
# - fairness
# download: iamshnoo/dollarstreet
# GeoDE # fail
# fairness/geode:
# name: GeoDE
# size: 12488
# main_metric: acc_wg
# time: 354
# num_classes: 40
# tags:
# - fairness
# download:
...