Datasets:
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https://images.unsplash.com/photo-1440773310993-8660d1577dcd | selective focus photography of black animal near body of water | {
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https://images.unsplash.com/photo-1446834898093-264bbb1bdcc9 | photo of body body of water during golden hour | {
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https://images.unsplash.com/photo-1441961497852-89a16db29005 | landscape photography of snow covered mountain near body of water | {
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https://images.unsplash.com/photo-1442095962062-cc576a28f7ef | person walking on snow covered mountain during daytime | {
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https://images.unsplash.com/photo-1421990535576-b336c6b1c8a1 | man on beach during sunset | {
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https://images.unsplash.com/photo-1442943861491-36a87a01e726 | flock of brown goat inside fence | {
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https://images.unsplash.com/photo-1430132594682-16e1185b17c5 | trees and aurora rays | {
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https://images.unsplash.com/photo-1439853849133-aaf5b7b5f55b | mountain range near body of water under blue skies | {
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https://images.unsplash.com/photo-1440942574812-185bf7cf6c49 | girl walking in field surrounded with tall and green trees | {
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https://images.unsplash.com/photo-1438185074000-4b84f7ffc075 | high angle photography of forest-covered mountain | {
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green cactus on brown mountain | {
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https://images.unsplash.com/photo-1448713551278-27e64beaa3fd | landscape photography of body of water | {
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https://images.unsplash.com/photo-1438129501245-af64ca2b270a | brown flower field | {
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https://images.unsplash.com/photo-1419293667059-7f9357d09013 | shallow focus photography of pink tulips | {
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https://images.unsplash.com/photo-1451272994275-50b182fb2c70 | white wooden electric post | {
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https://images.unsplash.com/photo-1452480306336-ffdc85b78768 | dog lying on couch | {
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https://images.unsplash.com/photo-1433763484842-f9bca4a5b93f | body of water across green trees | {
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https://images.unsplash.com/photo-1429552016556-fd6f7d9743e1 | green tree and galaxy | {
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https://images.unsplash.com/photo-1428394527478-f01c05887d1f | body of water between island | {
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https://images.unsplash.com/photo-1450655816589-5eea781dae8a | selective focus photography of green and red bear standing on yellow flower | {
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https://images.unsplash.com/photo-1446840908685-30f3a9e727f9 | brown cliff beside ocean | {
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https://images.unsplash.com/photo-1451395599223-6349b929a180 | pineapple on rock boulder | {
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bridge over body of water on grayscale phot | {
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low-angle grayscale photography of CN Tower | {
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https://images.unsplash.com/photo-1429152937938-07b5f2828cdd | silhouette photo of bird stands on shore at golden hour | {
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88,
85
]
],
"2": [
[
45,
45,
38
],
[
157,
170,
177
]
],
"3": [
[
34,
35,
27
],
[
171,
190,
202
],
[
103,
102,
98
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1496068485394-64235b139f6d | aerial view of rocks beside body of water | {
"1": [
[
50,
94,
100
]
],
"2": [
[
13,
74,
84
],
[
178,
181,
170
]
],
"3": [
[
12,
97,
109
],
[
12,
47,
53
],
[
181,
183,
171
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1495927007324-53cb9cee3f15 | aerial view of trees during daytime | {
"1": [
[
117,
136,
151
]
],
"2": [
[
128,
150,
169
],
[
68,
73,
72
]
],
"3": [
[
129,
152,
172
],
[
107,
111,
109
],
[
45,
50,
52
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1507527982907-723733713d42 | man throwing brown pine cone | {
"1": [
[
124,
125,
127
]
],
"2": [
[
74,
76,
76
],
[
187,
188,
193
]
],
"3": [
[
65,
67,
66
],
[
201,
202,
207
],
[
131,
131,
134
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1501229013772-1517cd5456bd | body of water across moutain | {
"1": [
[
131,
141,
144
]
],
"2": [
[
230,
226,
222
],
[
39,
62,
71
]
],
"3": [
[
32,
59,
70
],
[
240,
238,
238
],
[
167,
144,
121
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1506543479114-405e954a2729 | green vine plant on white concrete wall | {
"1": [
[
160,
161,
151
]
],
"2": [
[
195,
193,
187
],
[
52,
59,
37
]
],
"3": [
[
200,
199,
195
],
[
123,
122,
92
],
[
20,
29,
15
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1490495029043-4b194ff8895d | bird's-eye view photography of mountain | {
"1": [
[
77,
96,
98
]
],
"2": [
[
50,
61,
59
],
[
113,
146,
157
]
],
"3": [
[
47,
58,
56
],
[
126,
134,
132
],
[
86,
152,
177
]
],
"4": [
[
... |
https://images.unsplash.com/photo-1484943244867-fa64d4ed9486 | focus photography of wooden arrow signage | {
"1": [
[
116,
121,
104
]
],
"2": [
[
73,
77,
58
],
[
179,
184,
172
]
],
"3": [
[
58,
59,
46
],
[
113,
125,
97
],
[
200,
201,
196
]
],
"4": [
[
... |
End of preview. Expand in Data Studio
The Unsplash Lite Dataset (v1.2.1) with color palettes
The Lite dataset contains all of the same fields as the Full dataset, but is limited to ~25,000 photos. It can be used for both commercial and non-commercial usage, provided you abide by the terms.
The Unsplash Dataset is made available for research purposes. It cannot be used to redistribute the images contained within. To use the Unsplash library in a product, see the Unsplash API.
This subset of the dataset contains only urls to the images, their descriptions generated from an AI service, and 8 palettes (generated using okolors).
To download the images from the urls, you may do something like this:
from datasets import load_dataset, DownloadManager, Image
ds = load_dataset("1aurent/unsplash-lite-palette")
def download_image(url: str | list[str]) -> str | list[str]:
dl_manager = DownloadManager()
filename = dl_manager.download(url)
return {"image": filename}
ds = ds.map(
function=download_image,
input_columns=["url"],
batched=True,
num_proc=6,
)
ds = ds.cast_column(
column="image",
feature=Image(),
)
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