Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K<n<10K
Tags:
biology
License:
adds birds labels, bird species dataset script and test script
Browse files- .gitignore +1 -0
- bird-species-dataset.py +93 -0
- birds_labels.txt +525 -0
- test_dataloader.py +10 -0
.gitignore
ADDED
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data/
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bird-species-dataset.py
ADDED
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import os
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import datasets
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from datasets import SplitGenerator, Split, ImageClassification
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from kaggle.api.kaggle_api_extended import KaggleApi
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_CITATION = """\
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@TECHREPORT{gpiosenka/100-bird-species,
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author = {gpiosenka},
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title = {BIRDS 525 SPECIES- IMAGE CLASSIFICATION},
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institution = {},
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year = {2023}
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}
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"""
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_DESCRIPTION = """\
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A dataset of bird species downloaded from kaggle. """
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_HOMEPAGE = "https://www.kaggle.com/datasets/gpiosenka/100-bird-species/"
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_DATA_DIR = 'data/'
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def _CLASSES() -> list[str]:
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# reads from bird_labels.txt, line by line
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with open("birds_labels.txt") as f:
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return f.read().splitlines()
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class BirdSpeciesDatasetDataset(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("0.1.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="plain_text",
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version=datasets.Version("0.1.0", ""),
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description="Import of BIRDS 525 SPECIES Data Set",
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)
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]
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def _info(self):
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_NAMES = _CLASSES()
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"image": datasets.Image(),
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"label": datasets.features.ClassLabel(names=_NAMES),
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}
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),
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supervised_keys=("image", "label"),
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homepage=_HOMEPAGE,
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citation=_CITATION,
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task_templates=ImageClassification(image_column="image", label_column="label"),
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)
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def _split_generators(self, dl_manager):
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data_dir = _DATA_DIR
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# Downloading the dataset
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if not os.path.exists(data_dir):
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kaggle_api = KaggleApi()
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kaggle_api.authenticate()
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kaggle_api.dataset_download_files('gpiosenka/100-bird-species', path=data_dir, unzip=True)
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# There is a bug in the dataset, where one of the folders is named "PARAKETT AUKLET" instead of "PARAKETT AUKLET"
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# We fix it by adding a space to the valid folder, because train and test are wrong and also the names in the labels file
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# Fixing the path
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fault_path = os.path.join(data_dir, 'valid', 'PARAKETT AUKLET')
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correct_path = os.path.join(data_dir, 'valid', 'PARAKETT AUKLET')
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os.rename(fault_path, correct_path)
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return [
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SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train")}),
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SplitGenerator(name=Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, "valid")}),
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SplitGenerator(name=Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test")}),
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]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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idx = 0
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for label in os.listdir(filepath):
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for f in os.listdir(os.path.join(filepath, label)):
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record = {
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"image": os.path.join(filepath, label, f),
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"label": label,
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}
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yield idx, record
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idx += 1
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# To use the dataset:
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# from datasets import load_dataset
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# dataset = load_dataset('path/to/birds.py')
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birds_labels.txt
ADDED
@@ -0,0 +1,525 @@
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1 |
+
ABBOTTS BABBLER
|
2 |
+
ABBOTTS BOOBY
|
3 |
+
ABYSSINIAN GROUND HORNBILL
|
4 |
+
AFRICAN CROWNED CRANE
|
5 |
+
AFRICAN EMERALD CUCKOO
|
6 |
+
AFRICAN FIREFINCH
|
7 |
+
AFRICAN OYSTER CATCHER
|
8 |
+
AFRICAN PIED HORNBILL
|
9 |
+
AFRICAN PYGMY GOOSE
|
10 |
+
ALBATROSS
|
11 |
+
ALBERTS TOWHEE
|
12 |
+
ALEXANDRINE PARAKEET
|
13 |
+
ALPINE CHOUGH
|
14 |
+
ALTAMIRA YELLOWTHROAT
|
15 |
+
AMERICAN AVOCET
|
16 |
+
AMERICAN BITTERN
|
17 |
+
AMERICAN COOT
|
18 |
+
AMERICAN DIPPER
|
19 |
+
AMERICAN FLAMINGO
|
20 |
+
AMERICAN GOLDFINCH
|
21 |
+
AMERICAN KESTREL
|
22 |
+
AMERICAN PIPIT
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23 |
+
AMERICAN REDSTART
|
24 |
+
AMERICAN ROBIN
|
25 |
+
AMERICAN WIGEON
|
26 |
+
AMETHYST WOODSTAR
|
27 |
+
ANDEAN GOOSE
|
28 |
+
ANDEAN LAPWING
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29 |
+
ANDEAN SISKIN
|
30 |
+
ANHINGA
|
31 |
+
ANIANIAU
|
32 |
+
ANNAS HUMMINGBIRD
|
33 |
+
ANTBIRD
|
34 |
+
ANTILLEAN EUPHONIA
|
35 |
+
APAPANE
|
36 |
+
APOSTLEBIRD
|
37 |
+
ARARIPE MANAKIN
|
38 |
+
ASHY STORM PETREL
|
39 |
+
ASHY THRUSHBIRD
|
40 |
+
ASIAN CRESTED IBIS
|
41 |
+
ASIAN DOLLARD BIRD
|
42 |
+
ASIAN GREEN BEE EATER
|
43 |
+
ASIAN OPENBILL STORK
|
44 |
+
AUCKLAND SHAQ
|
45 |
+
AUSTRAL CANASTERO
|
46 |
+
AUSTRALASIAN FIGBIRD
|
47 |
+
AVADAVAT
|
48 |
+
AZARAS SPINETAIL
|
49 |
+
AZURE BREASTED PITTA
|
50 |
+
AZURE JAY
|
51 |
+
AZURE TANAGER
|
52 |
+
AZURE TIT
|
53 |
+
BAIKAL TEAL
|
54 |
+
BALD EAGLE
|
55 |
+
BALD IBIS
|
56 |
+
BALI STARLING
|
57 |
+
BALTIMORE ORIOLE
|
58 |
+
BANANAQUIT
|
59 |
+
BAND TAILED GUAN
|
60 |
+
BANDED BROADBILL
|
61 |
+
BANDED PITA
|
62 |
+
BANDED STILT
|
63 |
+
BAR-TAILED GODWIT
|
64 |
+
BARN OWL
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65 |
+
BARN SWALLOW
|
66 |
+
BARRED PUFFBIRD
|
67 |
+
BARROWS GOLDENEYE
|
68 |
+
BAY-BREASTED WARBLER
|
69 |
+
BEARDED BARBET
|
70 |
+
BEARDED BELLBIRD
|
71 |
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BEARDED REEDLING
|
72 |
+
BELTED KINGFISHER
|
73 |
+
BIRD OF PARADISE
|
74 |
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BLACK AND YELLOW BROADBILL
|
75 |
+
BLACK BAZA
|
76 |
+
BLACK BREASTED PUFFBIRD
|
77 |
+
BLACK COCKATO
|
78 |
+
BLACK FACED SPOONBILL
|
79 |
+
BLACK FRANCOLIN
|
80 |
+
BLACK HEADED CAIQUE
|
81 |
+
BLACK NECKED STILT
|
82 |
+
BLACK SKIMMER
|
83 |
+
BLACK SWAN
|
84 |
+
BLACK TAIL CRAKE
|
85 |
+
BLACK THROATED BUSHTIT
|
86 |
+
BLACK THROATED HUET
|
87 |
+
BLACK THROATED WARBLER
|
88 |
+
BLACK VENTED SHEARWATER
|
89 |
+
BLACK VULTURE
|
90 |
+
BLACK-CAPPED CHICKADEE
|
91 |
+
BLACK-NECKED GREBE
|
92 |
+
BLACK-THROATED SPARROW
|
93 |
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BLACKBURNIAM WARBLER
|
94 |
+
BLONDE CRESTED WOODPECKER
|
95 |
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BLOOD PHEASANT
|
96 |
+
BLUE COAU
|
97 |
+
BLUE DACNIS
|
98 |
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BLUE GRAY GNATCATCHER
|
99 |
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BLUE GROSBEAK
|
100 |
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BLUE GROUSE
|
101 |
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BLUE HERON
|
102 |
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BLUE MALKOHA
|
103 |
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BLUE THROATED PIPING GUAN
|
104 |
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BLUE THROATED TOUCANET
|
105 |
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BOBOLINK
|
106 |
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BORNEAN BRISTLEHEAD
|
107 |
+
BORNEAN LEAFBIRD
|
108 |
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BORNEAN PHEASANT
|
109 |
+
BRANDT CORMARANT
|
110 |
+
BREWERS BLACKBIRD
|
111 |
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BROWN CREPPER
|
112 |
+
BROWN HEADED COWBIRD
|
113 |
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BROWN NOODY
|
114 |
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BROWN THRASHER
|
115 |
+
BUFFLEHEAD
|
116 |
+
BULWERS PHEASANT
|
117 |
+
BURCHELLS COURSER
|
118 |
+
BUSH TURKEY
|
119 |
+
CAATINGA CACHOLOTE
|
120 |
+
CABOTS TRAGOPAN
|
121 |
+
CACTUS WREN
|
122 |
+
CALIFORNIA CONDOR
|
123 |
+
CALIFORNIA GULL
|
124 |
+
CALIFORNIA QUAIL
|
125 |
+
CAMPO FLICKER
|
126 |
+
CANARY
|
127 |
+
CANVASBACK
|
128 |
+
CAPE GLOSSY STARLING
|
129 |
+
CAPE LONGCLAW
|
130 |
+
CAPE MAY WARBLER
|
131 |
+
CAPE ROCK THRUSH
|
132 |
+
CAPPED HERON
|
133 |
+
CAPUCHINBIRD
|
134 |
+
CARMINE BEE-EATER
|
135 |
+
CASPIAN TERN
|
136 |
+
CASSOWARY
|
137 |
+
CEDAR WAXWING
|
138 |
+
CERULEAN WARBLER
|
139 |
+
CHARA DE COLLAR
|
140 |
+
CHATTERING LORY
|
141 |
+
CHESTNET BELLIED EUPHONIA
|
142 |
+
CHESTNUT WINGED CUCKOO
|
143 |
+
CHINESE BAMBOO PARTRIDGE
|
144 |
+
CHINESE POND HERON
|
145 |
+
CHIPPING SPARROW
|
146 |
+
CHUCAO TAPACULO
|
147 |
+
CHUKAR PARTRIDGE
|
148 |
+
CINNAMON ATTILA
|
149 |
+
CINNAMON FLYCATCHER
|
150 |
+
CINNAMON TEAL
|
151 |
+
CLARKS GREBE
|
152 |
+
CLARKS NUTCRACKER
|
153 |
+
COCK OF THE ROCK
|
154 |
+
COCKATOO
|
155 |
+
COLLARED ARACARI
|
156 |
+
COLLARED CRESCENTCHEST
|
157 |
+
COMMON FIRECREST
|
158 |
+
COMMON GRACKLE
|
159 |
+
COMMON HOUSE MARTIN
|
160 |
+
COMMON IORA
|
161 |
+
COMMON LOON
|
162 |
+
COMMON POORWILL
|
163 |
+
COMMON STARLING
|
164 |
+
COPPERSMITH BARBET
|
165 |
+
COPPERY TAILED COUCAL
|
166 |
+
CRAB PLOVER
|
167 |
+
CRANE HAWK
|
168 |
+
CREAM COLORED WOODPECKER
|
169 |
+
CRESTED AUKLET
|
170 |
+
CRESTED CARACARA
|
171 |
+
CRESTED COUA
|
172 |
+
CRESTED FIREBACK
|
173 |
+
CRESTED KINGFISHER
|
174 |
+
CRESTED NUTHATCH
|
175 |
+
CRESTED OROPENDOLA
|
176 |
+
CRESTED SERPENT EAGLE
|
177 |
+
CRESTED SHRIKETIT
|
178 |
+
CRESTED WOOD PARTRIDGE
|
179 |
+
CRIMSON CHAT
|
180 |
+
CRIMSON SUNBIRD
|
181 |
+
CROW
|
182 |
+
CUBAN TODY
|
183 |
+
CUBAN TROGON
|
184 |
+
CURL CRESTED ARACURI
|
185 |
+
D-ARNAUDS BARBET
|
186 |
+
DALMATIAN PELICAN
|
187 |
+
DARJEELING WOODPECKER
|
188 |
+
DARK EYED JUNCO
|
189 |
+
DAURIAN REDSTART
|
190 |
+
DEMOISELLE CRANE
|
191 |
+
DOUBLE BARRED FINCH
|
192 |
+
DOUBLE BRESTED CORMARANT
|
193 |
+
DOUBLE EYED FIG PARROT
|
194 |
+
DOWNY WOODPECKER
|
195 |
+
DUNLIN
|
196 |
+
DUSKY LORY
|
197 |
+
DUSKY ROBIN
|
198 |
+
EARED PITA
|
199 |
+
EASTERN BLUEBIRD
|
200 |
+
EASTERN BLUEBONNET
|
201 |
+
EASTERN GOLDEN WEAVER
|
202 |
+
EASTERN MEADOWLARK
|
203 |
+
EASTERN ROSELLA
|
204 |
+
EASTERN TOWEE
|
205 |
+
EASTERN WIP POOR WILL
|
206 |
+
EASTERN YELLOW ROBIN
|
207 |
+
ECUADORIAN HILLSTAR
|
208 |
+
EGYPTIAN GOOSE
|
209 |
+
ELEGANT TROGON
|
210 |
+
ELLIOTS PHEASANT
|
211 |
+
EMERALD TANAGER
|
212 |
+
EMPEROR PENGUIN
|
213 |
+
EMU
|
214 |
+
ENGGANO MYNA
|
215 |
+
EURASIAN BULLFINCH
|
216 |
+
EURASIAN GOLDEN ORIOLE
|
217 |
+
EURASIAN MAGPIE
|
218 |
+
EUROPEAN GOLDFINCH
|
219 |
+
EUROPEAN TURTLE DOVE
|
220 |
+
EVENING GROSBEAK
|
221 |
+
FAIRY BLUEBIRD
|
222 |
+
FAIRY PENGUIN
|
223 |
+
FAIRY TERN
|
224 |
+
FAN TAILED WIDOW
|
225 |
+
FASCIATED WREN
|
226 |
+
FIERY MINIVET
|
227 |
+
FIORDLAND PENGUIN
|
228 |
+
FIRE TAILLED MYZORNIS
|
229 |
+
FLAME BOWERBIRD
|
230 |
+
FLAME TANAGER
|
231 |
+
FOREST WAGTAIL
|
232 |
+
FRIGATE
|
233 |
+
FRILL BACK PIGEON
|
234 |
+
GAMBELS QUAIL
|
235 |
+
GANG GANG COCKATOO
|
236 |
+
GILA WOODPECKER
|
237 |
+
GILDED FLICKER
|
238 |
+
GLOSSY IBIS
|
239 |
+
GO AWAY BIRD
|
240 |
+
GOLD WING WARBLER
|
241 |
+
GOLDEN BOWER BIRD
|
242 |
+
GOLDEN CHEEKED WARBLER
|
243 |
+
GOLDEN CHLOROPHONIA
|
244 |
+
GOLDEN EAGLE
|
245 |
+
GOLDEN PARAKEET
|
246 |
+
GOLDEN PHEASANT
|
247 |
+
GOLDEN PIPIT
|
248 |
+
GOULDIAN FINCH
|
249 |
+
GRANDALA
|
250 |
+
GRAY CATBIRD
|
251 |
+
GRAY KINGBIRD
|
252 |
+
GRAY PARTRIDGE
|
253 |
+
GREAT ARGUS
|
254 |
+
GREAT GRAY OWL
|
255 |
+
GREAT JACAMAR
|
256 |
+
GREAT KISKADEE
|
257 |
+
GREAT POTOO
|
258 |
+
GREAT TINAMOU
|
259 |
+
GREAT XENOPS
|
260 |
+
GREATER PEWEE
|
261 |
+
GREATER PRAIRIE CHICKEN
|
262 |
+
GREATOR SAGE GROUSE
|
263 |
+
GREEN BROADBILL
|
264 |
+
GREEN JAY
|
265 |
+
GREEN MAGPIE
|
266 |
+
GREEN WINGED DOVE
|
267 |
+
GREY CUCKOOSHRIKE
|
268 |
+
GREY HEADED CHACHALACA
|
269 |
+
GREY HEADED FISH EAGLE
|
270 |
+
GREY PLOVER
|
271 |
+
GROVED BILLED ANI
|
272 |
+
GUINEA TURACO
|
273 |
+
GUINEAFOWL
|
274 |
+
GURNEYS PITTA
|
275 |
+
GYRFALCON
|
276 |
+
HAMERKOP
|
277 |
+
HARLEQUIN DUCK
|
278 |
+
HARLEQUIN QUAIL
|
279 |
+
HARPY EAGLE
|
280 |
+
HAWAIIAN GOOSE
|
281 |
+
HAWFINCH
|
282 |
+
HELMET VANGA
|
283 |
+
HEPATIC TANAGER
|
284 |
+
HIMALAYAN BLUETAIL
|
285 |
+
HIMALAYAN MONAL
|
286 |
+
HOATZIN
|
287 |
+
HOODED MERGANSER
|
288 |
+
HOOPOES
|
289 |
+
HORNED GUAN
|
290 |
+
HORNED LARK
|
291 |
+
HORNED SUNGEM
|
292 |
+
HOUSE FINCH
|
293 |
+
HOUSE SPARROW
|
294 |
+
HYACINTH MACAW
|
295 |
+
IBERIAN MAGPIE
|
296 |
+
IBISBILL
|
297 |
+
IMPERIAL SHAQ
|
298 |
+
INCA TERN
|
299 |
+
INDIAN BUSTARD
|
300 |
+
INDIAN PITTA
|
301 |
+
INDIAN ROLLER
|
302 |
+
INDIAN VULTURE
|
303 |
+
INDIGO BUNTING
|
304 |
+
INDIGO FLYCATCHER
|
305 |
+
INLAND DOTTEREL
|
306 |
+
IVORY BILLED ARACARI
|
307 |
+
IVORY GULL
|
308 |
+
IWI
|
309 |
+
JABIRU
|
310 |
+
JACK SNIPE
|
311 |
+
JACOBIN PIGEON
|
312 |
+
JANDAYA PARAKEET
|
313 |
+
JAPANESE ROBIN
|
314 |
+
JAVA SPARROW
|
315 |
+
JOCOTOCO ANTPITTA
|
316 |
+
KAGU
|
317 |
+
KAKAPO
|
318 |
+
KILLDEAR
|
319 |
+
KING EIDER
|
320 |
+
KING VULTURE
|
321 |
+
KIWI
|
322 |
+
KNOB BILLED DUCK
|
323 |
+
KOOKABURRA
|
324 |
+
LARK BUNTING
|
325 |
+
LAUGHING GULL
|
326 |
+
LAZULI BUNTING
|
327 |
+
LESSER ADJUTANT
|
328 |
+
LILAC ROLLER
|
329 |
+
LIMPKIN
|
330 |
+
LITTLE AUK
|
331 |
+
LOGGERHEAD SHRIKE
|
332 |
+
LONG-EARED OWL
|
333 |
+
LOONEY BIRDS
|
334 |
+
LUCIFER HUMMINGBIRD
|
335 |
+
MAGPIE GOOSE
|
336 |
+
MALABAR HORNBILL
|
337 |
+
MALACHITE KINGFISHER
|
338 |
+
MALAGASY WHITE EYE
|
339 |
+
MALEO
|
340 |
+
MALLARD DUCK
|
341 |
+
MANDRIN DUCK
|
342 |
+
MANGROVE CUCKOO
|
343 |
+
MARABOU STORK
|
344 |
+
MASKED BOBWHITE
|
345 |
+
MASKED BOOBY
|
346 |
+
MASKED LAPWING
|
347 |
+
MCKAYS BUNTING
|
348 |
+
MERLIN
|
349 |
+
MIKADO PHEASANT
|
350 |
+
MILITARY MACAW
|
351 |
+
MOURNING DOVE
|
352 |
+
MYNA
|
353 |
+
NICOBAR PIGEON
|
354 |
+
NOISY FRIARBIRD
|
355 |
+
NORTHERN BEARDLESS TYRANNULET
|
356 |
+
NORTHERN CARDINAL
|
357 |
+
NORTHERN FLICKER
|
358 |
+
NORTHERN FULMAR
|
359 |
+
NORTHERN GANNET
|
360 |
+
NORTHERN GOSHAWK
|
361 |
+
NORTHERN JACANA
|
362 |
+
NORTHERN MOCKINGBIRD
|
363 |
+
NORTHERN PARULA
|
364 |
+
NORTHERN RED BISHOP
|
365 |
+
NORTHERN SHOVELER
|
366 |
+
OCELLATED TURKEY
|
367 |
+
OILBIRD
|
368 |
+
OKINAWA RAIL
|
369 |
+
ORANGE BREASTED TROGON
|
370 |
+
ORANGE BRESTED BUNTING
|
371 |
+
ORIENTAL BAY OWL
|
372 |
+
ORNATE HAWK EAGLE
|
373 |
+
OSPREY
|
374 |
+
OSTRICH
|
375 |
+
OVENBIRD
|
376 |
+
OYSTER CATCHER
|
377 |
+
PAINTED BUNTING
|
378 |
+
PALILA
|
379 |
+
PALM NUT VULTURE
|
380 |
+
PARADISE TANAGER
|
381 |
+
PARAKETT AUKLET
|
382 |
+
PARUS MAJOR
|
383 |
+
PATAGONIAN SIERRA FINCH
|
384 |
+
PEACOCK
|
385 |
+
PEREGRINE FALCON
|
386 |
+
PHAINOPEPLA
|
387 |
+
PHILIPPINE EAGLE
|
388 |
+
PINK ROBIN
|
389 |
+
PLUSH CRESTED JAY
|
390 |
+
POMARINE JAEGER
|
391 |
+
PUFFIN
|
392 |
+
PUNA TEAL
|
393 |
+
PURPLE FINCH
|
394 |
+
PURPLE GALLINULE
|
395 |
+
PURPLE MARTIN
|
396 |
+
PURPLE SWAMPHEN
|
397 |
+
PYGMY KINGFISHER
|
398 |
+
PYRRHULOXIA
|
399 |
+
QUETZAL
|
400 |
+
RAINBOW LORIKEET
|
401 |
+
RAZORBILL
|
402 |
+
RED BEARDED BEE EATER
|
403 |
+
RED BELLIED PITTA
|
404 |
+
RED BILLED TROPICBIRD
|
405 |
+
RED BROWED FINCH
|
406 |
+
RED CROSSBILL
|
407 |
+
RED FACED CORMORANT
|
408 |
+
RED FACED WARBLER
|
409 |
+
RED FODY
|
410 |
+
RED HEADED DUCK
|
411 |
+
RED HEADED WOODPECKER
|
412 |
+
RED KNOT
|
413 |
+
RED LEGGED HONEYCREEPER
|
414 |
+
RED NAPED TROGON
|
415 |
+
RED SHOULDERED HAWK
|
416 |
+
RED TAILED HAWK
|
417 |
+
RED TAILED THRUSH
|
418 |
+
RED WINGED BLACKBIRD
|
419 |
+
RED WISKERED BULBUL
|
420 |
+
REGENT BOWERBIRD
|
421 |
+
RING-NECKED PHEASANT
|
422 |
+
ROADRUNNER
|
423 |
+
ROCK DOVE
|
424 |
+
ROSE BREASTED COCKATOO
|
425 |
+
ROSE BREASTED GROSBEAK
|
426 |
+
ROSEATE SPOONBILL
|
427 |
+
ROSY FACED LOVEBIRD
|
428 |
+
ROUGH LEG BUZZARD
|
429 |
+
ROYAL FLYCATCHER
|
430 |
+
RUBY CROWNED KINGLET
|
431 |
+
RUBY THROATED HUMMINGBIRD
|
432 |
+
RUDDY SHELDUCK
|
433 |
+
RUDY KINGFISHER
|
434 |
+
RUFOUS KINGFISHER
|
435 |
+
RUFOUS TREPE
|
436 |
+
RUFUOS MOTMOT
|
437 |
+
SAMATRAN THRUSH
|
438 |
+
SAND MARTIN
|
439 |
+
SANDHILL CRANE
|
440 |
+
SATYR TRAGOPAN
|
441 |
+
SAYS PHOEBE
|
442 |
+
SCARLET CROWNED FRUIT DOVE
|
443 |
+
SCARLET FACED LIOCICHLA
|
444 |
+
SCARLET IBIS
|
445 |
+
SCARLET MACAW
|
446 |
+
SCARLET TANAGER
|
447 |
+
SHOEBILL
|
448 |
+
SHORT BILLED DOWITCHER
|
449 |
+
SMITHS LONGSPUR
|
450 |
+
SNOW GOOSE
|
451 |
+
SNOW PARTRIDGE
|
452 |
+
SNOWY EGRET
|
453 |
+
SNOWY OWL
|
454 |
+
SNOWY PLOVER
|
455 |
+
SNOWY SHEATHBILL
|
456 |
+
SORA
|
457 |
+
SPANGLED COTINGA
|
458 |
+
SPLENDID WREN
|
459 |
+
SPOON BILED SANDPIPER
|
460 |
+
SPOTTED CATBIRD
|
461 |
+
SPOTTED WHISTLING DUCK
|
462 |
+
SQUACCO HERON
|
463 |
+
SRI LANKA BLUE MAGPIE
|
464 |
+
STEAMER DUCK
|
465 |
+
STORK BILLED KINGFISHER
|
466 |
+
STRIATED CARACARA
|
467 |
+
STRIPED OWL
|
468 |
+
STRIPPED MANAKIN
|
469 |
+
STRIPPED SWALLOW
|
470 |
+
SUNBITTERN
|
471 |
+
SUPERB STARLING
|
472 |
+
SURF SCOTER
|
473 |
+
SWINHOES PHEASANT
|
474 |
+
TAILORBIRD
|
475 |
+
TAIWAN MAGPIE
|
476 |
+
TAKAHE
|
477 |
+
TASMANIAN HEN
|
478 |
+
TAWNY FROGMOUTH
|
479 |
+
TEAL DUCK
|
480 |
+
TIT MOUSE
|
481 |
+
TOUCHAN
|
482 |
+
TOWNSENDS WARBLER
|
483 |
+
TREE SWALLOW
|
484 |
+
TRICOLORED BLACKBIRD
|
485 |
+
TROPICAL KINGBIRD
|
486 |
+
TRUMPTER SWAN
|
487 |
+
TURKEY VULTURE
|
488 |
+
TURQUOISE MOTMOT
|
489 |
+
UMBRELLA BIRD
|
490 |
+
VARIED THRUSH
|
491 |
+
VEERY
|
492 |
+
VENEZUELIAN TROUPIAL
|
493 |
+
VERDIN
|
494 |
+
VERMILION FLYCATHER
|
495 |
+
VICTORIA CROWNED PIGEON
|
496 |
+
VIOLET BACKED STARLING
|
497 |
+
VIOLET CUCKOO
|
498 |
+
VIOLET GREEN SWALLOW
|
499 |
+
VIOLET TURACO
|
500 |
+
VISAYAN HORNBILL
|
501 |
+
VULTURINE GUINEAFOWL
|
502 |
+
WALL CREAPER
|
503 |
+
WATTLED CURASSOW
|
504 |
+
WATTLED LAPWING
|
505 |
+
WHIMBREL
|
506 |
+
WHITE BREASTED WATERHEN
|
507 |
+
WHITE BROWED CRAKE
|
508 |
+
WHITE CHEEKED TURACO
|
509 |
+
WHITE CRESTED HORNBILL
|
510 |
+
WHITE EARED HUMMINGBIRD
|
511 |
+
WHITE NECKED RAVEN
|
512 |
+
WHITE TAILED TROPIC
|
513 |
+
WHITE THROATED BEE EATER
|
514 |
+
WILD TURKEY
|
515 |
+
WILLOW PTARMIGAN
|
516 |
+
WILSONS BIRD OF PARADISE
|
517 |
+
WOOD DUCK
|
518 |
+
WOOD THRUSH
|
519 |
+
WOODLAND KINGFISHER
|
520 |
+
WRENTIT
|
521 |
+
YELLOW BELLIED FLOWERPECKER
|
522 |
+
YELLOW BREASTED CHAT
|
523 |
+
YELLOW CACIQUE
|
524 |
+
YELLOW HEADED BLACKBIRD
|
525 |
+
ZEBRA DOVE
|
test_dataloader.py
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from datasets import load_dataset
|
2 |
+
import time
|
3 |
+
|
4 |
+
def main():
|
5 |
+
for split in ["train", "validation", "test"]:
|
6 |
+
data = load_dataset("bird-species-dataset.py")[split]
|
7 |
+
print(data)
|
8 |
+
|
9 |
+
if __name__=="__main__":
|
10 |
+
main()
|