On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Deep Learning (DL) Data?
Deep Learning (DL) data is input information used to train deep learning models. It typically consists of large-scale datasets that contain a vast amount of labeled or unlabeled examples. DL data is characterized by its complexity and high dimensionality, allowing deep learning algorithms to learn intricate patterns and representations. This data is crucial for training deep neural networks, enabling them to perform tasks such as image recognition, natural language processing, and speech recognition with high accuracy and efficiency.
Deep Learning (DL) data refers to large datasets that are used to train deep learning models. Examples of DL data include image datasets like ImageNet, text datasets like the Common Crawl corpus, and speech datasets like the LibriSpeech dataset. DL data is used to train deep learning models to recognize patterns, make predictions, and perform tasks such as image classification, natural language processing, and speech recognition. In this page, you’ll find the best data sources for DL data.
Best Deep Learning (DL) Databases & Datasets
Here is our curated selection of top Deep Learning (DL) Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
FileMarket | 20,000 photos | AI Training Data | Large Language Model (LLM) Data | Machine Learning (ML) Data | Deep Learning (DL) Data |
Multi-race Human Body Data | 300,000Â ID | Computer Vision Data| Image/Video Deep Learning (DL) Data
Machine Learning (ML) Data | 800M+ B2B Profiles | AI-Ready for Deep Learning (DL), NLP & LLM Training
Deep Learning Data |Â 800,000 SFX Professional Sound Effects | Human Deep Learning (DL) Metadata
Automaton AI Machine Learning & Deep Learning model development services
AI & ML Training Data | Artificial Intelligence (AI) | Machine Learning (ML) Datasets | Deep Learning Datasets | Easy to Integrate | Free Sample
FileMarket | 20,000 pictures | Object Detection Data | AI Training Data | Deep Learning (DL) Data| Gesture Recognition / Machine Learning (ML) Data
Speech Synthesis Data Collection Service | 50+ Languages Resources | Numerous Voice Sample | TTS Data | Audio Data | Deep Learning (DL) Data
FileMarket | Dataset for Face Anti-Spoofing (Videos) in Computer Vision Applications | Machine Learning (ML) Data | Deep Learning (DL) Data
Automaton AI Data labeling services
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Top Deep Learning (DL) Data Providers & Companies
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Nexdata
CoverageUSAUK+138Founded in 2011, Nexdata has grown to be a globally renowned AI training data service company. Nexdata owns an extensive library of off-the-shelf datasets and provides flexible data collection, annotation and curation services.Volume200K Hours Speech, 500TB ImageAccuracyAbove 95%CopyrightCollected with Consent -
FileMarket
CoverageUSAUK+248Our platform engages communities to gather hard-to-obtain datasets. By connecting companies with our users, we collect unique data crucial for cutting-edge research. Make a request, and we'll collect non-existent, fully customizable datasets tailored to your needs.GDPRCompliant100%Verified Data5+Data Types -
Soundsnap
CoverageUSAUK+247We currently feature 800,000 sound effects and 50,000 tracks for machine learning and generative AI. Our library is trusted by companies such as the BBC, Pixar, Apple, HBO, Ogilvy and Netflix.800K filesMusicPrecleared -
Image Datasets
CoverageUSAUK+248VImageDatasets has been an excellent partner for our image-based AI training needs. Its professional-grade imagery and robust metadata make it a go-to resource for developing state-of-the-art models in photography-focused domains. We recommend their services for AI developers looking for rich, high-quality datasets that come with comprehensive metadata.
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Pixta AI
CoverageUSAUK+247VWe collaborated with Pixta on an AI project. Pixta surprised us with great labelling and annotation services. Pixta Team has a high standard for the services and always double checks with us during the project to ensure alignment. Moreover, Pixta has provided licenced images, even human images, so we have no worries about the legal issue. Pixta is our first-choice partner for all AI projects.
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StageZero
CoverageNorwayBulgaria+1We are a Helsinki, Finland-based AI data company and innovator of the ground-breaking MicroTasks technology used for ethical data creation and labeling.Trusted byBillion $ companies1k+ usersAvailable instantlyEUCoverage
Popular Use Cases for Deep Learning (DL) Data
Deep Learning (DL) Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Deep Learning (DL) Data.
Main Attributes of Deep Learning (DL) Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a language as per ISO 639. | View 3 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 1 datasets |
Frequently Asked Questions
How is the Quality of Deep Learning (DL) Data Maintained?
The quality of Deep Learning (DL) Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Deep Learning (DL) Data Updated?
The update frequency for Deep Learning (DL) Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Deep Learning (DL) Data Secure?
The security of Deep Learning (DL) Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Deep Learning (DL) Data Delivered?
Deep Learning (DL) Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Deep Learning (DL) Data.
How Much Does Deep Learning (DL) Data Cost?
The cost of Deep Learning (DL) Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Deep Learning (DL) Data for your needs.
What Are Similar Data Types to Deep Learning (DL) Data?
Deep Learning (DL) Data is similar to other data types, such as Annotated Imagery Data, Machine Learning (ML) Data, Synthetic Data, Textual data, and Audio Data. These related categories are often used together for applications like Artificial Intelligence (AI) and Deep Learning.
