Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,310 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Amazon Berkeley Objects (c) by Amazon.com
|
2 |
+
|
3 |
+
## License
|
4 |
+
|
5 |
+
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0
|
6 |
+
International Public License. To obtain a copy of the full license, see
|
7 |
+
`LICENSE-CC-BY-NC-4.0.txt`, visit
|
8 |
+
[CreativeCommons.org](https://creativecommons.org/licenses/by-nc/4.0/)
|
9 |
+
or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
|
10 |
+
|
11 |
+
Under the following terms:
|
12 |
+
|
13 |
+
* Attribution — You must give appropriate credit, provide a link to the
|
14 |
+
license, and indicate if changes were made. You may do so in any reasonable
|
15 |
+
manner, but not in any way that suggests the licensor endorses you or your
|
16 |
+
use.
|
17 |
+
|
18 |
+
* NonCommercial — You may not use the material for commercial purposes.
|
19 |
+
|
20 |
+
* No additional restrictions — You may not apply legal terms or technological
|
21 |
+
measures that legally restrict others from doing anything the license
|
22 |
+
permits.
|
23 |
+
|
24 |
+
## Attribution
|
25 |
+
|
26 |
+
Credit for the data, including all images and 3d models, must be given to:
|
27 |
+
|
28 |
+
> Amazon.com
|
29 |
+
|
30 |
+
Credit for building the dataset, archives and benchmark sets must be given to:
|
31 |
+
|
32 |
+
> Matthieu Guillaumin (Amazon.com), Thomas Dideriksen (Amazon.com),
|
33 |
+
> Kenan Deng (Amazon.com), Himanshu Arora (Amazon.com),
|
34 |
+
> Jasmine Collins (UC Berkeley) and Jitendra Malik (UC Berkeley)
|
35 |
+
|
36 |
+
## Description
|
37 |
+
|
38 |
+
Amazon Berkeley Objects is a collection of 147,702 product listings with
|
39 |
+
multilingual metadata and 398,212 unique catalog images. 8,222 listings come
|
40 |
+
with turntable photography (also referred as *spin* or *360º-View* images), as
|
41 |
+
sequences of 24 or 72 images, for a total of 586,584 images in 8,209 unique
|
42 |
+
sequences. For 7,953 products, the collection also provides high-quality 3d
|
43 |
+
models, as glTF 2.0 files.
|
44 |
+
|
45 |
+
The collection is made of the following files:
|
46 |
+
|
47 |
+
* `README.md` - The present file.
|
48 |
+
|
49 |
+
* `LICENSE-CC-BY-NC-4.0.txt` - The License file. You must read, agree and
|
50 |
+
comply to the License before using the Amazon Berkeley Objects data.
|
51 |
+
|
52 |
+
* `listings/metadata/listings_<i>.json.gz` - Product description and metadata.
|
53 |
+
Each of the 16 files is encoded with UTF-8 and gzip-compressed. Each line of
|
54 |
+
the decompressed files corresponds to one product as a JSON object (see
|
55 |
+
http://ndjson.org/ or https://jsonlines.org/ ). Each product JSON object
|
56 |
+
(a.k.a dictionary) has any number of the following keys:
|
57 |
+
|
58 |
+
- `brand`
|
59 |
+
- Content: Brand name
|
60 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
61 |
+
- `bullet_point`
|
62 |
+
- Content: Important features of the products
|
63 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
64 |
+
- `color`
|
65 |
+
- Content: Color of the product as text
|
66 |
+
- Format: `[{"language_tag": <str>, "standardized_values": [<str>],
|
67 |
+
"value": <str>}, ...]`
|
68 |
+
- `color_code`
|
69 |
+
- Content: Color of the product as HTML color code
|
70 |
+
- Format: `[<str>, ...]`
|
71 |
+
- `country`
|
72 |
+
- Content: Country of the marketplace, as an
|
73 |
+
[ISO 3166-1 alpha 2](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
|
74 |
+
code
|
75 |
+
- Format: `<str>`
|
76 |
+
- `domain_name`
|
77 |
+
- Content: Domain name of the marketplace where the product is found.
|
78 |
+
A product listing in this collection is uniquely identified by
|
79 |
+
(`item_id`, `domain_name`)
|
80 |
+
- Format: `<str>`
|
81 |
+
- `fabric_type`
|
82 |
+
- Content: Description of product fabric
|
83 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
84 |
+
- `finish_type`
|
85 |
+
- Content: Description of product finish
|
86 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
87 |
+
- `item_dimensions`
|
88 |
+
- Content: Dimensions of the product (height, width, length)
|
89 |
+
- Format: `{"height": {"normalized_value": {"unit": <str>, "value":
|
90 |
+
<float>}, "unit": <str>, "value": <float>}, "length":
|
91 |
+
{"normalized_value": {"unit": <str>, "value": <float>}, "unit": <str>,
|
92 |
+
"value": <float>}, "width": {"normalized_value": {"unit": <str>,
|
93 |
+
"value": <float>}, "unit": <str>, "value": <float>}}}`
|
94 |
+
- `item_id`
|
95 |
+
- Content: The product reference id. A product listing in this
|
96 |
+
collection is uniquely identified by (`item_id`, `domain_name`).
|
97 |
+
A corresponding product page may exist at
|
98 |
+
`https://www.<domain_name>/dp/<item_id>`
|
99 |
+
- Format: `<str>`
|
100 |
+
- `item_keywords`
|
101 |
+
- Content: Keywords for the product
|
102 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
103 |
+
- `item_name`
|
104 |
+
- Content: The product name
|
105 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
106 |
+
- `item_shape`
|
107 |
+
- Content: Description of the product shape
|
108 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
109 |
+
- `item_weight`
|
110 |
+
- Content: The product weight
|
111 |
+
- Format: `[{"normalized_value": {"unit": <str>, "value": <float>},
|
112 |
+
"unit": <str>, "value": <float>}, ...]`
|
113 |
+
- `main_image_id`
|
114 |
+
- Content: The main product image, provided as an `image_id`. See the
|
115 |
+
descripton of `images/metadata/images.csv.gz` below
|
116 |
+
- Format: `<str>`
|
117 |
+
- `marketplace`
|
118 |
+
- Content: Retail website name (Amazon, AmazonFresh, AmazonGo, ...)
|
119 |
+
- Format: `<str>`
|
120 |
+
- `material`
|
121 |
+
- Content: Description of the product material
|
122 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
123 |
+
- `model_name`
|
124 |
+
- Content: Model name
|
125 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
126 |
+
- `model_number`
|
127 |
+
- Content: Model number
|
128 |
+
- Format: `[{ "language_tag": <str>, "value": <str> }, ...]`
|
129 |
+
- `model_year`
|
130 |
+
- Content: Model year
|
131 |
+
- Format: `[{ "language_tag": <str>, "value": <int> }, ...]`
|
132 |
+
- `node`
|
133 |
+
- Content: Location of the product in the category tree. A node page
|
134 |
+
may exist at `https://www.<domain_name>/b/?node=<node_id>` for
|
135 |
+
browsing
|
136 |
+
- Format: `[{ "node_id": <int>, "path": <str>}, ...]`
|
137 |
+
- `other_image_id`
|
138 |
+
- Content: Other available images for the product, provided as
|
139 |
+
`image_id`. See the description of `images/metadata/images.csv.gz`
|
140 |
+
below
|
141 |
+
- Format: `[<str>, ...]`
|
142 |
+
- `pattern`
|
143 |
+
- Content: Product pattern
|
144 |
+
- Format: `[{ "language_tag": <str>, "value": <int> }, ...]`
|
145 |
+
- `product_description`
|
146 |
+
- Content: Product description as HTML
|
147 |
+
- Format: `[{ "language_tag": <str>, "value": <int> }, ...]`
|
148 |
+
- `product_type`
|
149 |
+
- Content: Product type (category)
|
150 |
+
- Format: `<str>`
|
151 |
+
- `spin_id`
|
152 |
+
- Content: Reference to the 360º View image sequence. See the
|
153 |
+
description of `spins/metadata/spins.csv.gz` below
|
154 |
+
- Format: `<str>`
|
155 |
+
- `style`
|
156 |
+
- Content: Style of the product
|
157 |
+
- Format: `[{ "language_tag": <str>, "value": <int> }, ...]`
|
158 |
+
- `3dmodel_id`
|
159 |
+
- Content: Reference to the 3d model of the product. See the description
|
160 |
+
of `3dmodels/metadata/3models.csv.gz`
|
161 |
+
- Format: `<str>`
|
162 |
+
|
163 |
+
* `images/metadata/images.csv.gz` - Image metadata. This file is a
|
164 |
+
gzip-compressed comma-separated value (CSV) file with the following
|
165 |
+
columns: `image_id`, `height`, `width`, and `path`.
|
166 |
+
- `image_id` (string): this id uniquely refers to a product image. This id
|
167 |
+
can be used to retrieve the image data from Amazon's Content Delivery
|
168 |
+
Network (CDN) using the template:
|
169 |
+
`https://m.media-amazon.com/image/I/<image_id>.<extension>` [^1],
|
170 |
+
where `<extension>` is composed of the characters following the dot in the
|
171 |
+
`path` field. Any value occurring in the `main_image` and `other_images`
|
172 |
+
attributes of product metadata is an `image_id` present in this file.
|
173 |
+
- `height` (int) and `width` (int): respectively, the height and width of
|
174 |
+
the original image.
|
175 |
+
- `path`: the location of the image file relative to the `images/original/`
|
176 |
+
or `images/small/` directories. A path is composed of lowercase hex
|
177 |
+
characters (`0-9a-f`) that also uniquely identifies images. The first two
|
178 |
+
characters are used to build a file hierarchy and reduce the number of
|
179 |
+
images in a single directory. The extension is `jpg` except for few `png`
|
180 |
+
files.
|
181 |
+
|
182 |
+
Below are are first 10 lines of `images/metadata/images.csv.gz`:
|
183 |
+
```
|
184 |
+
image_id,height,width,path
|
185 |
+
010-mllS7JL,106,106,14/14fe8812.jpg
|
186 |
+
01dkn0Gyx0L,122,122,da/daab0cad.jpg
|
187 |
+
01sUPg0387L,111,111,d2/d2daaae9.jpg
|
188 |
+
1168jc-5r1L,186,186,3a/3a4e88e6.jpg
|
189 |
+
11RUV5Fs65L,30,500,d9/d91ab9cf.jpg
|
190 |
+
11X4pFHqYOL,35,500,20/20098c4d.jpg
|
191 |
+
11Y+Xpt1lfL,103,196,99/9987a1c8.jpg
|
192 |
+
11rL64ZLPYL,64,500,89/89a2ff4d.jpg
|
193 |
+
11xjmNF5TAL,117,88,ee/ee239f0f.jpg
|
194 |
+
```
|
195 |
+
|
196 |
+
* `images/original/<path>` - Original image data. This directory contains the
|
197 |
+
original high-resolution version of the images. See
|
198 |
+
`images/metadata/images.csv.gz` for details of image naming.
|
199 |
+
|
200 |
+
* `images/small/<path>` - Downscaled image data. This directory contains the
|
201 |
+
version of the images, where they have been downscaled such that their
|
202 |
+
largest axis (height or width) is a maximum of 256 pixels. See
|
203 |
+
`images/metadata/images.csv.gz` for details of image naming.
|
204 |
+
|
205 |
+
* `spins/metadata/spins.csv.gz` - Spin / 360º-View image metadata. This file
|
206 |
+
is a gzip-compressed comma-separated value (CSV) file with the following
|
207 |
+
fields: `spin_id`, `azimuth`, `image_id`, `height`, `width`, and `path`.
|
208 |
+
- `spin_id`: a unique identifier for the image sequence.
|
209 |
+
- `azimuth`: an integer between 0 and 71, representing the index in the spin
|
210 |
+
sequence and the azimuth of the camera (in steps of 5º).
|
211 |
+
- `image_id`: this id uniquely refers to an image. This is can be used
|
212 |
+
to retrieve the image data using the template:
|
213 |
+
`https://m.media-amazon.com/image/I/<image_id>.jpg` [^1].
|
214 |
+
- `height` and `width`: respectively, the height and width of the image.
|
215 |
+
- `path`: the location of the image file relative to the `spins/original/`
|
216 |
+
directory. The extension is `jpg` for all the images. The `path` is build
|
217 |
+
from the `spin_id` and `azimuth` using the template
|
218 |
+
`<spin_id>_<azimuth:02d>.jpg` and the first two characters of `spin_id`
|
219 |
+
are used to build a file hierarchy and reduce the number of files in a
|
220 |
+
single directory.
|
221 |
+
|
222 |
+
Below are are first 10 lines of `spins/metadata/spins.csv.gz`:
|
223 |
+
```
|
224 |
+
spin_id,azimuth,image_id,height,width,path
|
225 |
+
61c91265,0,41wqHws7a6L,248,1075,61/61c91265/61c91265_00.jpg
|
226 |
+
61c91265,1,41++eZZHP9L,248,1075,61/61c91265/61c91265_01.jpg
|
227 |
+
61c91265,2,41YF86LhGDL,248,1075,61/61c91265/61c91265_02.jpg
|
228 |
+
61c91265,3,41I5Zz-kbAL,248,1075,61/61c91265/61c91265_03.jpg
|
229 |
+
61c91265,4,41lAQM2Ys5L,248,1075,61/61c91265/61c91265_04.jpg
|
230 |
+
61c91265,5,41OJT+p8JgL,248,1075,61/61c91265/61c91265_05.jpg
|
231 |
+
61c91265,6,412kYqOnqHL,248,1075,61/61c91265/61c91265_06.jpg
|
232 |
+
61c91265,7,41rgUZ0NuFL,248,1075,61/61c91265/61c91265_07.jpg
|
233 |
+
61c91265,8,41PJ4ks-cWL,248,1075,61/61c91265/61c91265_08.jpg
|
234 |
+
```
|
235 |
+
|
236 |
+
* `spins/original/<path>` - Spin / 360º-View image files. Each file
|
237 |
+
corresponds to one row in `spins/metadata/spins.csv.gz`, named by the value
|
238 |
+
of the `path` column.
|
239 |
+
|
240 |
+
* `3dmodels/metadata/3dmodels.csv.gz` - 3d model metadata. This file is a
|
241 |
+
gzip-compressed comma-separated value (CSV) file with the following fields:
|
242 |
+
`3dmodel_id`, `path`, `meshes`, `materials`, `textures`, `images`,
|
243 |
+
`image_height_max`, `image_height_min`, `image_width_max`,
|
244 |
+
`image_width_min`, `vertices`, `faces`, `extent_x`, `extent_y`, `extent_z`.
|
245 |
+
|
246 |
+
- `3dmodel_id`: Reference for the 3d model, as provided in the `3dmodel_id`
|
247 |
+
field of the listings metadata
|
248 |
+
- `path`: Location of the 3d model, relative to `3dmodels/original/`
|
249 |
+
- `meshes`: Number of meshes in the geometry
|
250 |
+
- `materials`: Number of materials in the 3d model
|
251 |
+
- `textures`: Number of textures in the 3d model
|
252 |
+
- `images`: Number of image resources in the 3d model
|
253 |
+
- `image_{heigh,width}_{min,max}`: Minimal and maximal dimensions of the
|
254 |
+
image resources in the 3d model
|
255 |
+
- `vertices`: Number of vertices in the geometry
|
256 |
+
- `faces`: Number of faces in the geometry
|
257 |
+
- `extent_{x,y,z}`: Extent of the geometry in each dimension
|
258 |
+
|
259 |
+
Below are are first 10 lines of `3dmodels/metadata/3dmodels.csv.gz`:
|
260 |
+
```
|
261 |
+
3dmodel_id,path,meshes,materials,textures,images,image_height_max,image_height_min,image_width_max,image_width_min,vertices,faces,extent_x,extent_y,extent_z
|
262 |
+
B01N2PLWIL,L/B01N2PLWIL.glb,1,1,3,3,4096,4096,4096,4096,10990,14380,0.571499943733216,0.11684001048680606,0.07111982014177629
|
263 |
+
B075QFCHM9,9/B075QFCHM9.glb,1,1,3,3,2048,2048,2048,2048,11973,19568,1.840071976184845,1.0669103860855103,2.3675915002822876
|
264 |
+
B07H469871,1/B07H469871.glb,1,1,3,3,4096,4096,4096,4096,1602,1950,1.1113524436950684,1.3880813121795654,0.39794909954071045
|
265 |
+
B07H8V49M2,2/B07H8V49M2.glb,1,1,3,3,4096,4096,4096,4096,3760,5710,1.4998703368605968,2.11988401412964,0.5897879977087402
|
266 |
+
B07DBHPK4G,G/B07DBHPK4G.glb,1,1,3,3,4096,4096,4096,4096,13704,22736,0.37921489775180817,1.6228150129318237,0.37921497225761414
|
267 |
+
B0842LM2DN,N/B0842LM2DN.glb,1,1,3,3,4096,4096,4096,4096,4078,7584,0.22779017686843872,0.2348586767911911,0.22779015451669693
|
268 |
+
B07HK6B4D7,7/B07HK6B4D7.glb,1,1,4,4,2048,2048,2048,2048,12221,19268,0.1887289583683014,0.6650936603546143,0.421692430973053
|
269 |
+
B07B4FZN9H,H/B07B4FZN9H.glb,1,1,3,3,2048,2048,2048,2048,13595,22644,3.3838289976119995,0.9963648915290833,2.048073887825012
|
270 |
+
B07B4Z9BS4,4/B07B4Z9BS4.glb,1,1,4,4,2048,2048,2048,2048,9259,16178,0.2793540060520172,0.2693932056427002,0.2793540358543396
|
271 |
+
```
|
272 |
+
|
273 |
+
* `3dmodels/original/<path>` - 3d model files. The 3d models are provided in
|
274 |
+
the [glTF-2.0 format](
|
275 |
+
https://github.com/KhronosGroup/glTF/blob/master/specification/2.0/README.md
|
276 |
+
) (GLB/binary representation). All models adhere to the following
|
277 |
+
conventions:
|
278 |
+
1. Positive `Y` direction is up.
|
279 |
+
2. Positive `Z` direction is pointing to the *natural* front-side of the
|
280 |
+
product, wherever applicable.
|
281 |
+
3. Products that are designed to stand on a surface (i.e. a floor) are
|
282 |
+
centered on the origin, but translated up (towards positive `Y`) such
|
283 |
+
that they *stand* on the `Y=0` plane.
|
284 |
+
4. Products that are designed to hang from a surface (i.e. a ceiling) are
|
285 |
+
centered on the origin, but translated down (towards negative `Y`) such
|
286 |
+
that they *hang* from the `Y=0` plane.
|
287 |
+
5. Products that are designed to hang on a wall are centered on the origin,
|
288 |
+
but translated forward (towards positive `Z`) such that their backside
|
289 |
+
aligns with the `Z=0` plane.
|
290 |
+
|
291 |
+
* `archives/abo-listings.tar` - Contains all the files in `listings/` as a
|
292 |
+
tar archive.
|
293 |
+
|
294 |
+
* `archives/abo-images-original.tar` - Contains the metadata and original
|
295 |
+
images from `images/original/` as a tar archive.
|
296 |
+
|
297 |
+
* `archives/abo-images-small.tar` - Contains the metadata and downscaled
|
298 |
+
images from `images/small/` as a tar archive.
|
299 |
+
|
300 |
+
* `archives/abo-spins.tar` - Contains the metadata and images from `spins/`
|
301 |
+
as a tar archive.
|
302 |
+
|
303 |
+
* `archives/abo-3dmodels.tar` - Contains the metadata and images from `3dmodels/`
|
304 |
+
as a tar archive.
|
305 |
+
|
306 |
+
## Footnotes
|
307 |
+
|
308 |
+
[^1]: Importantly, there is no guarantee that those URLs will remain unchanged
|
309 |
+
and available on the long term, we thus recommend using the images provided in this
|
310 |
+
archive instead.
|