tanganke/clip-vit-base-patch32_oxford-iiit-pet
Feature Extraction
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Updated
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Datasets:
image
imagewidth (px) 114
3.26k
| label
class label 37
classes | image_id
stringlengths 6
30
| label_cat_dog
class label 2
classes |
|---|---|---|---|
20maine_coon
| Maine_Coon_204 | 0cat
|
|
1american_bulldog
| american_bulldog_138 | 1dog
|
|
18keeshond
| keeshond_112 | 1dog
|
|
16havanese
| havanese_157 | 1dog
|
|
14german_shorthaired
| german_shorthaired_132 | 1dog
|
|
3basset_hound
| basset_hound_161 | 1dog
|
|
8boxer
| boxer_12 | 1dog
|
|
22newfoundland
| newfoundland_117 | 1dog
|
|
19leonberger
| leonberger_166 | 1dog
|
|
25pug
| pug_123 | 1dog
|
|
8boxer
| boxer_159 | 1dog
|
|
9british_shorthair
| British_Shorthair_100 | 0cat
|
|
12english_cocker_spaniel
| english_cocker_spaniel_115 | 1dog
|
|
9british_shorthair
| British_Shorthair_179 | 0cat
|
|
1american_bulldog
| american_bulldog_124 | 1dog
|
|
32siamese
| Siamese_167 | 0cat
|
|
22newfoundland
| newfoundland_135 | 1dog
|
|
14german_shorthaired
| german_shorthaired_176 | 1dog
|
|
9british_shorthair
| British_Shorthair_189 | 0cat
|
|
1american_bulldog
| american_bulldog_14 | 1dog
|
|
33sphynx
| Sphynx_202 | 0cat
|
|
21miniature_pinscher
| miniature_pinscher_160 | 1dog
|
|
35wheaten_terrier
| wheaten_terrier_142 | 1dog
|
|
6birman
| Birman_108 | 0cat
|
|
26ragdoll
| Ragdoll_18 | 0cat
|
|
19leonberger
| leonberger_151 | 1dog
|
|
18keeshond
| keeshond_148 | 1dog
|
|
15great_pyrenees
| great_pyrenees_167 | 1dog
|
|
10chihuahua
| chihuahua_166 | 1dog
|
|
24pomeranian
| pomeranian_10 | 1dog
|
|
16havanese
| havanese_183 | 1dog
|
|
26ragdoll
| Ragdoll_145 | 0cat
|
|
17japanese_chin
| japanese_chin_180 | 1dog
|
|
27russian_blue
| Russian_Blue_103 | 0cat
|
|
36yorkshire_terrier
| yorkshire_terrier_160 | 1dog
|
|
19leonberger
| leonberger_180 | 1dog
|
|
25pug
| pug_10 | 1dog
|
|
22newfoundland
| newfoundland_13 | 1dog
|
|
17japanese_chin
| japanese_chin_132 | 1dog
|
|
11egyptian_mau
| Egyptian_Mau_138 | 0cat
|
|
13english_setter
| english_setter_103 | 1dog
|
|
22newfoundland
| newfoundland_123 | 1dog
|
|
25pug
| pug_155 | 1dog
|
|
18keeshond
| keeshond_147 | 1dog
|
|
5bengal
| Bengal_103 | 0cat
|
|
16havanese
| havanese_150 | 1dog
|
|
18keeshond
| keeshond_164 | 1dog
|
|
32siamese
| Siamese_14 | 0cat
|
|
30scottish_terrier
| scottish_terrier_167 | 1dog
|
|
31shiba_inu
| shiba_inu_178 | 1dog
|
|
31shiba_inu
| shiba_inu_119 | 1dog
|
|
4beagle
| beagle_178 | 1dog
|
|
21miniature_pinscher
| miniature_pinscher_109 | 1dog
|
|
16havanese
| havanese_172 | 1dog
|
|
27russian_blue
| Russian_Blue_100 | 0cat
|
|
16havanese
| havanese_117 | 1dog
|
|
14german_shorthaired
| german_shorthaired_180 | 1dog
|
|
1american_bulldog
| american_bulldog_161 | 1dog
|
|
8boxer
| boxer_146 | 1dog
|
|
1american_bulldog
| american_bulldog_106 | 1dog
|
|
25pug
| pug_11 | 1dog
|
|
0abyssinian
| Abyssinian_125 | 0cat
|
|
24pomeranian
| pomeranian_154 | 1dog
|
|
11egyptian_mau
| Egyptian_Mau_186 | 0cat
|
|
28saint_bernard
| saint_bernard_121 | 1dog
|
|
1american_bulldog
| american_bulldog_185 | 1dog
|
|
33sphynx
| Sphynx_1 | 0cat
|
|
16havanese
| havanese_185 | 1dog
|
|
8boxer
| boxer_129 | 1dog
|
|
15great_pyrenees
| great_pyrenees_145 | 1dog
|
|
33sphynx
| Sphynx_172 | 0cat
|
|
14german_shorthaired
| german_shorthaired_125 | 1dog
|
|
15great_pyrenees
| great_pyrenees_105 | 1dog
|
|
5bengal
| Bengal_176 | 0cat
|
|
33sphynx
| Sphynx_160 | 0cat
|
|
13english_setter
| english_setter_138 | 1dog
|
|
0abyssinian
| Abyssinian_193 | 0cat
|
|
1american_bulldog
| american_bulldog_197 | 1dog
|
|
27russian_blue
| Russian_Blue_178 | 0cat
|
|
26ragdoll
| Ragdoll_182 | 0cat
|
|
17japanese_chin
| japanese_chin_117 | 1dog
|
|
18keeshond
| keeshond_127 | 1dog
|
|
20maine_coon
| Maine_Coon_159 | 0cat
|
|
5bengal
| Bengal_123 | 0cat
|
|
12english_cocker_spaniel
| english_cocker_spaniel_12 | 1dog
|
|
0abyssinian
| Abyssinian_107 | 0cat
|
|
16havanese
| havanese_180 | 1dog
|
|
16havanese
| havanese_166 | 1dog
|
|
27russian_blue
| Russian_Blue_113 | 0cat
|
|
22newfoundland
| newfoundland_122 | 1dog
|
|
12english_cocker_spaniel
| english_cocker_spaniel_153 | 1dog
|
|
35wheaten_terrier
| wheaten_terrier_176 | 1dog
|
|
17japanese_chin
| japanese_chin_170 | 1dog
|
|
24pomeranian
| pomeranian_183 | 1dog
|
|
13english_setter
| english_setter_119 | 1dog
|
|
14german_shorthaired
| german_shorthaired_175 | 1dog
|
|
8boxer
| boxer_125 | 1dog
|
|
18keeshond
| keeshond_124 | 1dog
|
|
33sphynx
| Sphynx_173 | 0cat
|
|
8boxer
| boxer_112 | 1dog
|
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The Oxford-IIIT Pet Dataset
Description
A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting.
This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an image_id field that can be used to reference those annotations from official metadata.
Website: https://www.robots.ox.ac.uk/~vgg/data/pets/
Citation
@InProceedings{parkhi12a,
author = "Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar",
title = "Cats and Dogs",
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
year = "2012",
}
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
7,349
Models trained or fine-tuned on timm/oxford-iiit-pet