
3.5M+ Architecture Images | AI Training Data | Machine Learning (ML) data | Object & Scene Detection | Global Coverage
URL
|
MAKE
|
MODEL
|
F_NUMBER
|
EXPOSURE_TIME
|
EXPOSURE_MODE
|
EXPOSURE_PROGRAM
|
METERING_MODE
|
LENS
|
FOCAL_LENGTH
|
ISO
|
GPS
|
DATE_ORIGINAL
|
SOFTWARE
|
ORIENTATION
|
LABELS
|
LABELS_SCORE
|
EXPLICIT_CONTENT
|
RANK
|
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | MAID | ||
URL
|
String | https://photos.gurushots.com/unsafe/400x0/a33ed9bfb7d02a2... | |
MAKE
|
String | SONY | |
MODEL
|
String | ILCE-7RM2 | |
F_NUMBER
|
String | F18 | |
EXPOSURE_TIME
|
String | 25 sec | |
EXPOSURE_MODE
|
String | Manual | |
EXPOSURE_PROGRAM
|
String | Manual | |
METERING_MODE
|
String | Multi-segment | |
LENS
|
String | FE 24-70mm F2.8 GM | |
FOCAL_LENGTH
|
String | 39.0 mm | |
ISO
|
Integer | 50 | |
GPS
|
|||
DATE_ORIGINAL
|
String | 2019-09-18 20:12:21.000000000 +00:00 | |
SOFTWARE
|
String | Adobe Photoshop Lightroom Classic 8.4 (Windows) | |
ORIENTATION
|
String | horizontal | |
LABELS
|
String | Architecture,Building,Convention Center,Light,Traffic Lig... | |
LABELS_SCORE
|
String | a:12:{s:12:"Architecture";d:0.9;s:8:"Building";d:0.9;s:17... | |
EXPLICIT_CONTENT
|
|||
RANK
|
Float | 3194.0 |
Description
Country Coverage
History
Volume
2 million | image records |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
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Frequently asked questions
What is 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage?
A comprehensive dataset of 3.5M+ architecture images sourced globally, featuring full EXIF data, including camera settings and photography details. Enriched with object and scene detection metadata, this dataset is ideal for AI model training in image recognition, classification, and segmentation.
What is 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage used for?
This product has 1 key use case. Data Seeds recommends using the data for Generative AI. Global businesses and organizations buy Annotated Imagery Data from Data Seeds to fuel their analytics and enrichment.
Who can use 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Annotated Imagery Data. Get in touch with Data Seeds to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage go?
This product has 10 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, real-time, and on-demand basis.
Which countries does 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Data Seeds is headquartered in Israel.
How much does 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage cost?
Pricing information for 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage is available by getting in contact with Data Seeds. Connect with Data Seeds to get a quote and arrange custom pricing models based on your data requirements.
How can I get 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage?
Businesses can buy Annotated Imagery Data from Data Seeds and get the data via S3 Bucket, UI Export, REST API, SOAP API, and Feed API. Depending on your data requirements and subscription budget, Data Seeds can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage?
You can compare and assess the data quality of Data Seeds using Datarade’s data marketplace. Data Seeds has received 1 review from clients.
What are similar products to 3.5M+ Architecture Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage?
This product has 3 related products. These alternatives include 1.9M+ Traffic & Road Object Images AI Training Data Machine Learning (ML) data Object & Scene Detection Global Coverage, Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data, and Machine Learning (ML) Data 800M+ B2B Profiles AI-Ready for Deep Learning (DL), NLP & LLM Training. You can compare the best Annotated Imagery Data providers and products via Datarade’s data marketplace and get the right data for your use case.