
OORT - Object Detection Data | Diverse Home Repair Tools Dataset for Machine Learning | 125 Categories, 100K+ Data Points
Air Compressor
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https://drive.google.com/drive/folders/1cP2nkJZXEy9BbK66GogqwmBjrrQ4TnJG?usp=share_link
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Air Compressor
|
String | Angle Grinder | |
https://drive.google.com/drive/folders/1cP2nkJZXEy9BbK66GogqwmBjrrQ4TnJG?usp=share_link
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String | https://drive.google.com/drive/folders/18FEslQ-UhcZTS97fM... |
Description
Country Coverage
Volume
125 | Categories |
100,000 | Data Points |
1 | Week Refresh Rate |
1 | Day Delivery |
Pricing
License | Starts at |
---|---|
One-off purchase |
$2,500 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points?
This dataset includes over 100k+ images of hand and power tools, captured from various angles and environments. It’s ideal for training AI models in object recognition for automation, augmented reality, and inventory management.
What is OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points used for?
This product has 4 key use cases. OORT recommends using the data for Artificial Intelligence (AI), Shelf Analytics, Vendor Intelligence, and Supplier Data Enrichment. Global businesses and organizations buy Annotated Imagery Data from OORT to fuel their analytics and enrichment.
Who can use OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points?
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 OORT to see what their data can do for your business and find out which integrations they provide.
Which countries does OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. OORT is headquartered in United States of America.
How much does OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points cost?
Pricing for OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points starts at USD2,500 per purchase. Connect with OORT to get a quote and arrange custom pricing models based on your data requirements.
How can I get OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points?
Businesses can buy Annotated Imagery Data from OORT and get the data via S3 Bucket. Depending on your data requirements and subscription budget, OORT can deliver this product in .jpeg, .jpg, and .png format.
What is the data quality of OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points?
OORT has reported that this product has the following quality and accuracy assurances: 99% Human Verified. You can compare and assess the data quality of OORT using Datarade’s data marketplace.
What are similar products to OORT - Object Detection Data Diverse Home Repair Tools Dataset for Machine Learning 125 Categories, 100K+ Data Points?
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 TagX - 5000+ Face Anti Spoofing Data Anti Spoofing Detection Face Recognition Fraud Detection KYC authentication Global coverage. 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.