Upload ViTForImageClassification
Browse files- README.md +199 -0
- config.json +2026 -0
- model.safetensors +3 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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|
1 |
+
{
|
2 |
+
"_name_or_path": "vit_with_attentions",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "tench, Tinca tinca",
|
13 |
+
"1": "goldfish, Carassius auratus",
|
14 |
+
"2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
|
15 |
+
"3": "tiger shark, Galeocerdo cuvieri",
|
16 |
+
"4": "hammerhead, hammerhead shark",
|
17 |
+
"5": "electric ray, crampfish, numbfish, torpedo",
|
18 |
+
"6": "stingray",
|
19 |
+
"7": "cock",
|
20 |
+
"8": "hen",
|
21 |
+
"9": "ostrich, Struthio camelus",
|
22 |
+
"10": "brambling, Fringilla montifringilla",
|
23 |
+
"11": "goldfinch, Carduelis carduelis",
|
24 |
+
"12": "house finch, linnet, Carpodacus mexicanus",
|
25 |
+
"13": "junco, snowbird",
|
26 |
+
"14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
|
27 |
+
"15": "robin, American robin, Turdus migratorius",
|
28 |
+
"16": "bulbul",
|
29 |
+
"17": "jay",
|
30 |
+
"18": "magpie",
|
31 |
+
"19": "chickadee",
|
32 |
+
"20": "water ouzel, dipper",
|
33 |
+
"21": "kite",
|
34 |
+
"22": "bald eagle, American eagle, Haliaeetus leucocephalus",
|
35 |
+
"23": "vulture",
|
36 |
+
"24": "great grey owl, great gray owl, Strix nebulosa",
|
37 |
+
"25": "European fire salamander, Salamandra salamandra",
|
38 |
+
"26": "common newt, Triturus vulgaris",
|
39 |
+
"27": "eft",
|
40 |
+
"28": "spotted salamander, Ambystoma maculatum",
|
41 |
+
"29": "axolotl, mud puppy, Ambystoma mexicanum",
|
42 |
+
"30": "bullfrog, Rana catesbeiana",
|
43 |
+
"31": "tree frog, tree-frog",
|
44 |
+
"32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
|
45 |
+
"33": "loggerhead, loggerhead turtle, Caretta caretta",
|
46 |
+
"34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
|
47 |
+
"35": "mud turtle",
|
48 |
+
"36": "terrapin",
|
49 |
+
"37": "box turtle, box tortoise",
|
50 |
+
"38": "banded gecko",
|
51 |
+
"39": "common iguana, iguana, Iguana iguana",
|
52 |
+
"40": "American chameleon, anole, Anolis carolinensis",
|
53 |
+
"41": "whiptail, whiptail lizard",
|
54 |
+
"42": "agama",
|
55 |
+
"43": "frilled lizard, Chlamydosaurus kingi",
|
56 |
+
"44": "alligator lizard",
|
57 |
+
"45": "Gila monster, Heloderma suspectum",
|
58 |
+
"46": "green lizard, Lacerta viridis",
|
59 |
+
"47": "African chameleon, Chamaeleo chamaeleon",
|
60 |
+
"48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
|
61 |
+
"49": "African crocodile, Nile crocodile, Crocodylus niloticus",
|
62 |
+
"50": "American alligator, Alligator mississipiensis",
|
63 |
+
"51": "triceratops",
|
64 |
+
"52": "thunder snake, worm snake, Carphophis amoenus",
|
65 |
+
"53": "ringneck snake, ring-necked snake, ring snake",
|
66 |
+
"54": "hognose snake, puff adder, sand viper",
|
67 |
+
"55": "green snake, grass snake",
|
68 |
+
"56": "king snake, kingsnake",
|
69 |
+
"57": "garter snake, grass snake",
|
70 |
+
"58": "water snake",
|
71 |
+
"59": "vine snake",
|
72 |
+
"60": "night snake, Hypsiglena torquata",
|
73 |
+
"61": "boa constrictor, Constrictor constrictor",
|
74 |
+
"62": "rock python, rock snake, Python sebae",
|
75 |
+
"63": "Indian cobra, Naja naja",
|
76 |
+
"64": "green mamba",
|
77 |
+
"65": "sea snake",
|
78 |
+
"66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
|
79 |
+
"67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
|
80 |
+
"68": "sidewinder, horned rattlesnake, Crotalus cerastes",
|
81 |
+
"69": "trilobite",
|
82 |
+
"70": "harvestman, daddy longlegs, Phalangium opilio",
|
83 |
+
"71": "scorpion",
|
84 |
+
"72": "black and gold garden spider, Argiope aurantia",
|
85 |
+
"73": "barn spider, Araneus cavaticus",
|
86 |
+
"74": "garden spider, Aranea diademata",
|
87 |
+
"75": "black widow, Latrodectus mactans",
|
88 |
+
"76": "tarantula",
|
89 |
+
"77": "wolf spider, hunting spider",
|
90 |
+
"78": "tick",
|
91 |
+
"79": "centipede",
|
92 |
+
"80": "black grouse",
|
93 |
+
"81": "ptarmigan",
|
94 |
+
"82": "ruffed grouse, partridge, Bonasa umbellus",
|
95 |
+
"83": "prairie chicken, prairie grouse, prairie fowl",
|
96 |
+
"84": "peacock",
|
97 |
+
"85": "quail",
|
98 |
+
"86": "partridge",
|
99 |
+
"87": "African grey, African gray, Psittacus erithacus",
|
100 |
+
"88": "macaw",
|
101 |
+
"89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
|
102 |
+
"90": "lorikeet",
|
103 |
+
"91": "coucal",
|
104 |
+
"92": "bee eater",
|
105 |
+
"93": "hornbill",
|
106 |
+
"94": "hummingbird",
|
107 |
+
"95": "jacamar",
|
108 |
+
"96": "toucan",
|
109 |
+
"97": "drake",
|
110 |
+
"98": "red-breasted merganser, Mergus serrator",
|
111 |
+
"99": "goose",
|
112 |
+
"100": "black swan, Cygnus atratus",
|
113 |
+
"101": "tusker",
|
114 |
+
"102": "echidna, spiny anteater, anteater",
|
115 |
+
"103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
|
116 |
+
"104": "wallaby, brush kangaroo",
|
117 |
+
"105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
|
118 |
+
"106": "wombat",
|
119 |
+
"107": "jellyfish",
|
120 |
+
"108": "sea anemone, anemone",
|
121 |
+
"109": "brain coral",
|
122 |
+
"110": "flatworm, platyhelminth",
|
123 |
+
"111": "nematode, nematode worm, roundworm",
|
124 |
+
"112": "conch",
|
125 |
+
"113": "snail",
|
126 |
+
"114": "slug",
|
127 |
+
"115": "sea slug, nudibranch",
|
128 |
+
"116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
|
129 |
+
"117": "chambered nautilus, pearly nautilus, nautilus",
|
130 |
+
"118": "Dungeness crab, Cancer magister",
|
131 |
+
"119": "rock crab, Cancer irroratus",
|
132 |
+
"120": "fiddler crab",
|
133 |
+
"121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
|
134 |
+
"122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
|
135 |
+
"123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
|
136 |
+
"124": "crayfish, crawfish, crawdad, crawdaddy",
|
137 |
+
"125": "hermit crab",
|
138 |
+
"126": "isopod",
|
139 |
+
"127": "white stork, Ciconia ciconia",
|
140 |
+
"128": "black stork, Ciconia nigra",
|
141 |
+
"129": "spoonbill",
|
142 |
+
"130": "flamingo",
|
143 |
+
"131": "little blue heron, Egretta caerulea",
|
144 |
+
"132": "American egret, great white heron, Egretta albus",
|
145 |
+
"133": "bittern",
|
146 |
+
"134": "crane",
|
147 |
+
"135": "limpkin, Aramus pictus",
|
148 |
+
"136": "European gallinule, Porphyrio porphyrio",
|
149 |
+
"137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
|
150 |
+
"138": "bustard",
|
151 |
+
"139": "ruddy turnstone, Arenaria interpres",
|
152 |
+
"140": "red-backed sandpiper, dunlin, Erolia alpina",
|
153 |
+
"141": "redshank, Tringa totanus",
|
154 |
+
"142": "dowitcher",
|
155 |
+
"143": "oystercatcher, oyster catcher",
|
156 |
+
"144": "pelican",
|
157 |
+
"145": "king penguin, Aptenodytes patagonica",
|
158 |
+
"146": "albatross, mollymawk",
|
159 |
+
"147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
|
160 |
+
"148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
|
161 |
+
"149": "dugong, Dugong dugon",
|
162 |
+
"150": "sea lion",
|
163 |
+
"151": "Chihuahua",
|
164 |
+
"152": "Japanese spaniel",
|
165 |
+
"153": "Maltese dog, Maltese terrier, Maltese",
|
166 |
+
"154": "Pekinese, Pekingese, Peke",
|
167 |
+
"155": "Shih-Tzu",
|
168 |
+
"156": "Blenheim spaniel",
|
169 |
+
"157": "papillon",
|
170 |
+
"158": "toy terrier",
|
171 |
+
"159": "Rhodesian ridgeback",
|
172 |
+
"160": "Afghan hound, Afghan",
|
173 |
+
"161": "basset, basset hound",
|
174 |
+
"162": "beagle",
|
175 |
+
"163": "bloodhound, sleuthhound",
|
176 |
+
"164": "bluetick",
|
177 |
+
"165": "black-and-tan coonhound",
|
178 |
+
"166": "Walker hound, Walker foxhound",
|
179 |
+
"167": "English foxhound",
|
180 |
+
"168": "redbone",
|
181 |
+
"169": "borzoi, Russian wolfhound",
|
182 |
+
"170": "Irish wolfhound",
|
183 |
+
"171": "Italian greyhound",
|
184 |
+
"172": "whippet",
|
185 |
+
"173": "Ibizan hound, Ibizan Podenco",
|
186 |
+
"174": "Norwegian elkhound, elkhound",
|
187 |
+
"175": "otterhound, otter hound",
|
188 |
+
"176": "Saluki, gazelle hound",
|