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Supercharge Your AI Models with Custom Multimodal Data Collection Services
Elevate your AI, machine learning, and computer vision projects with FutureBeeAI’s expert multimodal data collection services. We offer tailored solutions to gather and annotate high-quality multi-model datasets combining multiple modalities—video, audio, images, and text—ensuring your models are trained on diverse, real-world data.
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Unlock the Power of Multimodal Data for Superior AI Models
Multimodal data is the backbone of advanced AI applications, enabling richer, more accurate insights. From cross-platform content recognition and speech-to-text models to comprehensive image captioning and video summarization, multimodal datasets are essential for building AI systems that understand the full spectrum of human interaction and the world around us. But to achieve this, you need diverse, real-world data with the right level of accuracy and context.
At FutureBeeAI, we specialize in custom multimodal data collection services designed to accelerate your AI, machine learning, and computer vision projects. Whether you need high-quality video and audio paired with text annotations, image captioning for visual recognition, or synchronized datasets combining multiple modalities, we offer scalable and flexible solutions that match your unique needs.
All Your Multimodal Data Needs, Covered
High-Quality Multimodal Data
We provide high-quality, diverse multimodal datasets combining multiple modalities like video, audio, text, images, and more for your custom AI project.
Technical Specification
We support custom formats like MP4, MP3, JSON, XML, and more across multiple modalities tailored to your specific technical requirements.
Global Reach, Local Insight
Gather multimodal data from over 200 countries, ensuring diverse cultural and linguistic representation in your AI models.
Multilingual Support
Get access to multimodal datasets in 100+ languages and regional dialects for global AI applications, including speech, text, image, and video.
Diverse Crowd Community
With 20,000+ global contributors, we ensure your multimodal datasets reflect diverse demographics, ensuring fair and inclusive AI.
Industry-Specific Data
Collect custom multimodal datasets tailored for industries like healthcare, retail, autonomous driving, and more, with real-world accuracy.
Comprehensive Data Types
No matter what your project is, we’ve got the data you need. From visual speech dataset to image summarization, we deliver a wide range of multimodal data types for every use case.
End-to-End Annotation Services
Comprehensive annotation services for multiple modalities like video, audio, image, and text under a single roof.
Security & Privacy-First Platforms
Our secure platforms and strict privacy measures ensure the confidentiality and integrity of your multimodal datasets.
Multimodal Data Collection Solutions
Collect Diverse AI Datasets for Multi-Model Learning
Discover our diverse range of multi-modal data collection services designed to enhance your AI models. At FutureBeeAI, we specialize in gathering and integrating various types of data—such as text, audio, image, and video—into cohesive multi-modal datasets. Our solutions cater to complex AI needs, enabling richer, more contextually aware models that perform better across different tasks and scenarios. Explore how our multi-modal data can provide the comprehensive input required for advanced AI applications.
Image Captioning Data Collection
Collect images paired with text captions to train models for tasks like image captioning and multi-modal learning.
Diverse Multi-Modal Data Types
Image Summarization Data Collection
Collect images paired with text description summaries to train models for tasks like image summarization and multi-modal learning.
Image-Audio Description Data Collection
Capture image datasets paired with unscripted speech prompts for multi-modal learning.
Visual Speech Data Collection
Collect multi-modal datasets containing video data paired with unscripted speech.
Emotion Visual Speech Data Collection
Collect multi-modal datasets containing video data paired with unscripted speech showcasing different emotions.
Image Question Answer Data Collection
Collect images paired with question-answer pairs for those images to train visual question answering models.
Visual Singing Data Collection
Collect multilingual video data of a person singing songs in various languages.
Our Streamlined Multimodal Data Collection Process
Initial Consultation & Project Scoping
Start by understanding your specific data requirements. We align with your use cases, target environments, and unique project demands.
Guideline & Strategy Finalization
Creates a detailed data collection plan, covering everything from project timelines and deliverables to methods and QA processes.
Crowd Onboarding, Training & Consent
Select and onboard a diverse crowd ensuring thorough training, ethical standards, and compliance with necessary regulations.
Pilot Data Collection
Run a small-scale pilot project. This helps test our methodology, gather preliminary insights, and fine-tune the approach.
Preparing Sample Dataset
Generate a sample multimodal dataset tailored to your specifications, undergoing meticulous quality checks for accuracy.
Feedback on Sample Dataset
Collaborate with you to review the sample dataset, gathering feedback and making adjustments to ensure it aligns with your objectives.
Scaling Data Collection Project
Upon sample approval, we proceed to full-scale data collection, gathering high-quality, diverse data that meets your objectives.
Validation of Final Dataset
Implement rigorous quality control measures to ensure that every data asset meets our exacting standards, guaranteeing accuracy and consistency.
Final Review of Dataset
Work with you to review the final dataset, incorporating your feedback to ensure it is fully optimized for your AI model's needs.
Project Completion
We deliver the complete, high-quality multimodal dataset on time—setting your AI models up for success from day one.
Our Streamlined Multimodal Data Collection Process
01
Initial Consultation & Project Scoping
Start by understanding your specific data requirements. We align with your use cases, target environments, and unique project demands.
02
Guideline & Strategy Finalization
Creates a detailed data collection plan, covering everything from project timelines and deliverables to methods and QA processes.
03
Crowd Onboarding, Training & Consent
Select and onboard a diverse crowd ensuring thorough training, ethical standards, and compliance with necessary regulations.
04
Pilot Data Collection
Run a small-scale pilot project. This helps test our methodology, gather preliminary insights, and fine-tune the approach.
05
Preparing Sample Dataset
Generate a sample multimodal dataset tailored to your specifications, undergoing meticulous quality checks for accuracy.
06
Feedback on Sample Dataset
Collaborate with you to review the sample dataset, gathering feedback and making adjustments to ensure it aligns with your objectives.
07
Scaling Data Collection Project
Upon sample approval, we proceed to full-scale data collection, gathering high-quality, diverse data that meets your objectives.
08
Validation of Final Dataset
Implement rigorous quality control measures to ensure that every data asset meets our exacting standards, guaranteeing accuracy and consistency.
09
Final Review of Dataset
Work with you to review the final dataset, incorporating your feedback to ensure it is fully optimized for your AI model's needs.
10
Project Completion
We deliver the complete, high-quality multimodal dataset on time—setting your AI models up for success from day one.
Tailored Multimodal Data Collection Services
On-Site Multimodal Data Collection
Are you looking for multimodal data captured in a controlled or specific location? We organize participants and equipment to conduct on-site multimodal data collection, to meet your tailored project’s needs.
On-Site Visual Speech Data Collection- On-Site Visual Wakeword Data Collection
Crowdsourced Multimodal Data Collection
Need large-scale, diverse multimodal data? Leverage our global contributor network to collect multimodal datasets representing varied demographics, geographies, and real-world scenarios.
- Image Captioning Data
- Image Summarization Data
- Spontaneous Monologue on Image Data
Device-Specific Multimodal Data Collection
Want multimodal data collected from specific devices? We can help collect datasets using targeted capturing devices to meet your technical needs.
- Visual Speech Data Recorded with Specific Mobile Device
- Visual Wakeword Recording with Specific Camera Device
Environment-Specific Multimodal Data Collection
Need multimodal data from controlled or unique environments? We design customized collection processes to ensure datasets meet your precise specifications.
- In-Car Driver Visual Speech Data
- Studio Setup Scripted Visual Speech Data
Ethical Data Collection, Guaranteed
We believe ethical sourcing is essential for quality data. Our multimodal data collection ensures full consent and compliance with privacy laws, maintaining transparency throughout. From visual speech to visual descriptions, you can trust us for ethically sourced, high-quality data.
Expertise Across Every Data Modality
Whether it's audio-visual data, image captioning, or video summarization, our team has the expertise to deliver precisely what you need. We create tailored multimodal data solutions that align with your specific project goals, helping you achieve exceptional AI performance.
Global Reach with Local Precision
With a network of over 20,000 global contributors, we provide diverse data that spans cultures, geographies, and real-world environments. We ensure that the multimodal data we collect is not only globally diverse but also finely tuned to local nuances, guaranteeing your AI models are trained on data that reflects real-world variation.
Uncompromising Quality Control
The success of your AI models depends on the quality of the data they are trained on. We prioritize rigorous quality control measures to ensure your multimodal data is accurate, consistent, and reliable, helping you build AI models with the highest performance standards.
Fully Customized Solutions for Your AI Models
We understand that every project is unique. That's why FutureBeeAI offers fully customizable multimodal data collection services tailored to your precise needs. Whether you need specific data formats, custom annotation types, or data captured in particular environments, we design solutions that help your AI models thrive.
The Trusted Choice of AI Leaders
Leading AI and machine learning organizations rely on FutureBeeAI to provide large-scale, high-quality, and diverse multimodal datasets. From academic research teams to commercial product developers, we have helped businesses across industries develop cutting-edge AI models.
End-to-End Support, Every Step of the Way
When you partner with FutureBeeAI, you're not just getting multimodal data—you're gaining a dedicated ally for your project's success. From initial consultations to final model deployment, we provide expert guidance and personalized support, ensuring your AI models are built on a solid foundation.
We Do More Than Just Multimodal Data Collection!
Comprehensive Multimodal Data Services for Your AI and Machine Learning Needs
At FutureBeeAI, we go beyond simply collecting multimodal data—we provide end-to-end solutions that empower your AI, machine learning, ASR, NLP, and computer vision projects. Our services cover every aspect of data collection and annotation, ensuring your multimodal datasets are diverse, high-quality, and AI-ready.
Quality Assurance Services
Annotation Accuracy Audits: Perform detailed audits to verify the precision and accuracy of annotations, ensuring that every object, event, and action is accurately labeled.
Dataset Validation: Thoroughly review datasets to ensure their relevance and diversity, making sure that they are well-suited for robust AI training, without biases.
Data Quality Review: Check the quality of video, Text, and audio data to ensure it meets industry standards, even under low-light or noisy conditions.
Bias & Fairness Audits: Identify and mitigate biases in multimodal datasets, ensuring your data reflects diverse demographics, genders, and activities for more equitable AI model outcomes.
Multimodal Annotation Services
Visual Speech Annotation: Annotate mouth movements and facial gestures alongside audio, perfect for visual speech recognition models.
Image Captioning: Provide textual captions of images or videos, enabling your models to generate captions for visual content.
Image Summarization: Create detailed summaries of image content, useful for automatic content generation and visual summarization tasks.
Video Annotation: Annotate video data frame-by-frame with relevant annotation types like bounding box, polygon, or any other.
Object Detection & Labeling: Identify and label objects within video frames, whether they are static or moving, for accurate tracking and recognition.
Multimodal Data Classification Services
Scene & Event Classification: Classify videos based on scene content (e.g., urban, rural, indoor, outdoor), or events (e.g., meetings, accidents, gestures) to improve context-based recognition.
Sentiment & Emotion Classification: Analyze and classify emotions in video frames or in audio data.
Textual Data Classification: Classify the textual data based on provided labels or categories.
Quality Assurance Services
Annotation Accuracy Audits: Perform detailed audits to verify the precision and accuracy of annotations, ensuring that every object, event, and action is accurately labeled.
Dataset Validation: Thoroughly review datasets to ensure their relevance and diversity, making sure that they are well-suited for robust AI training, without biases.
Data Quality Review: Check the quality of video, Text, and audio data to ensure it meets industry standards, even under low-light or noisy conditions.
Bias & Fairness Audits: Identify and mitigate biases in multimodal datasets, ensuring your data reflects diverse demographics, genders, and activities for more equitable AI model outcomes.
Multimodal Annotation Services
Visual Speech Annotation: Annotate mouth movements and facial gestures alongside audio, perfect for visual speech recognition models.
Image Captioning: Provide textual captions of images or videos, enabling your models to generate captions for visual content.
Image Summarization: Create detailed summaries of image content, useful for automatic content generation and visual summarization tasks.
Video Annotation: Annotate video data frame-by-frame with relevant annotation types like bounding box, polygon, or any other.
Object Detection & Labeling: Identify and label objects within video frames, whether they are static or moving, for accurate tracking and recognition.
Our Recent Multimodal Data Projects!
See How Our Multimodal Data Collection Solutions Drive Success for Leading AI Projects Worldwide!
High-Quality Multilingual Textual Descriptions for Image Dataset
High-Quality Multilingual Textual Descriptions for Image Dataset
A leading technology company approached us with the task of producing detailed, 200-250 word textual descriptions for 1,000 images in their existing dataset. The goal was to provide in-depth, context-rich descriptions that highlight the key elements and aspects within each image, in five different languages: Hindi, Tamil, German, Spanish, and French.
FutureBeeAI assembled a team of native language experts for each required language from our global contributor community. These experts were trained to produce high-quality, detailed descriptions, capturing the nuances of each image and ensuring that the descriptions were culturally relevant and linguistically accurate. We completed the entire project, delivering 5,000 accurate, multi-language textual descriptions within 8 weeks, each one carefully reviewed for quality and consistency.
1.
Successfully produced 5,000 detailed, 200-250 word textual descriptions for 1,000 images
2.
Delivered high-quality, context-rich descriptions across 5 languages that precisely captured the elements of each image.
3.
Met the tight 8-week deadline while maintaining rigorous quality assurance throughout the process.
Visual Speech Dataset Collection for Emotion Recognition Model
Visual Speech Dataset Collection for Emotion Recognition Model
An AI company developing emotion recognition models for various industries approached FutureBeeAI to collect a diverse visual speech dataset. The client needed 1000 HD videos featuring participants speaking unscripted monologues on given prompts that showcased a variety of emotions. Additionally, they required diversity in the dataset across participant age, gender, ethnicity, recording device, recording style, background, and the time of day.
FutureBeeAI executed a global, large-scale data collection project, recruiting 250 participants from 10 countries to ensure diverse demographics. We used a participants latest smartphones to capture high-quality videos with varied backgrounds and lighting conditions. The videos were then annotated with emotion labels and carefully reviewed for accuracy.
1.
Collected 1000 HD videos from 250 participants across 10 countries, ensuring all the diversity requirements
2.
Data captured across various devices, recording styles, and times of day to ensure the dataset’s applicability in diverse real-world scenarios.
3.
Completed the project within 8 weeks, providing a robust, real-world multimodal dataset for AI model training
Empowering Multimodal AI with Diverse Image Captioning
Empowering Multimodal AI with Diverse Image Captioning
A leading tech company developing multimodal AI models approached FutureBeeAI to collect a large-scale image dataset and provide multilingual captions for each image. They required 100,000 images from over 100 different locations worldwide, and wanted each image to have a caption across multiple languages, including Gujarati, Hindi, Tamil, Telugu, Malayalam, German, French, Spanish, Arabic, and Chinese.
FutureBeeAI leveraged its extensive global crowd community to ethically source diverse and high-quality images from real-world environments across various regions. We then utilized our native language experts to generate accurate captions for each image, ensuring cultural relevance and linguistic precision. We completed the entire project within 6 weeks, providing the client with a comprehensive, multilingual image-captioning dataset for their multimodal AI model.
1.
Collected 100,000 high-quality images from over 100 global locations, ensuring a diverse range of real-world environments.
2.
Generated captions for each image in 10 languages, ensuring linguistic accuracy and cultural relevance.
3.
Completed the entire project in just 6 weeks, providing a fully annotated, multilingual dataset ready for multimodal AI training.
Image Audio Description Dataset Creation
Image Audio Description Dataset Creation
A leading tech company developing multimodal AI systems sought our expertise to create a dataset of unscripted image audio descriptions. The objective was to have native language experts describe images provided to them, capturing both the essence and details of each image in natural language.
FutureBeeAI utilized our Yugo platform to manage the entire data collection process, ensuring streamlined project tracking and quality assurance. We onboarded over 500 native language experts fluent in rare Indian languages such as Marwadi, Kutchhi, Sindhi, Goumukhi, and Sanskrit, along with major Indian languages like Hindi, Tamil, Telugu, Gujarati, and more. This diverse linguistic expertise allowed us to collect high-quality, unscripted audio descriptions in over 15 languages, including rare dialects, delivering the dataset within 8 weeks.
1.
Successfully recorded unscripted image audio descriptions with 500 native language experts on 10,000 images for each language
2.
Collected dataset across 15 rare and major indian languages
3.
Multimodal dataset collected within 8 weeks with FutureBeeAI crowd community and Yugo platform
High-Quality Multilingual Textual Descriptions for Image Dataset
High-Quality Multilingual Textual Descriptions for Image Dataset
A leading technology company approached us with the task of producing detailed, 200-250 word textual descriptions for 1,000 images in their existing dataset. The goal was to provide in-depth, context-rich descriptions that highlight the key elements and aspects within each image, in five different languages: Hindi, Tamil, German, Spanish, and French.
FutureBeeAI assembled a team of native language experts for each required language from our global contributor community. These experts were trained to produce high-quality, detailed descriptions, capturing the nuances of each image and ensuring that the descriptions were culturally relevant and linguistically accurate. We completed the entire project, delivering 5,000 accurate, multi-language textual descriptions within 8 weeks, each one carefully reviewed for quality and consistency.
1.
Successfully produced 5,000 detailed, 200-250 word textual descriptions for 1,000 images
2.
Delivered high-quality, context-rich descriptions across 5 languages that precisely captured the elements of each image.
3.
Met the tight 8-week deadline while maintaining rigorous quality assurance throughout the process.
Visual Speech Dataset Collection for Emotion Recognition Model
Visual Speech Dataset Collection for Emotion Recognition Model
An AI company developing emotion recognition models for various industries approached FutureBeeAI to collect a diverse visual speech dataset. The client needed 1000 HD videos featuring participants speaking unscripted monologues on given prompts that showcased a variety of emotions. Additionally, they required diversity in the dataset across participant age, gender, ethnicity, recording device, recording style, background, and the time of day.
FutureBeeAI executed a global, large-scale data collection project, recruiting 250 participants from 10 countries to ensure diverse demographics. We used a participants latest smartphones to capture high-quality videos with varied backgrounds and lighting conditions. The videos were then annotated with emotion labels and carefully reviewed for accuracy.
1.
Collected 1000 HD videos from 250 participants across 10 countries, ensuring all the diversity requirements
2.
Data captured across various devices, recording styles, and times of day to ensure the dataset’s applicability in diverse real-world scenarios.
3.
Completed the project within 8 weeks, providing a robust, real-world multimodal dataset for AI model training
Explore Our Full Spectrum of Annotation Services
Expand your AI's capabilities with our full suite of annotation services—text, video, image, and more—crafted to deliver accuracy, scalability, and unmatched quality for all your data needs.
Ready to be our next success story?
Multimodal Data Collection FAQs
What is multimodal data, and why is it important for AI development?
How does multimodal data improve the performance of AI models?
What industries benefit the most from multimodal data collection?
Why should I choose custom multimodal datasets over publicly available ones?
What types of multimodal datasets does FutureBeeAI offer?
How does FutureBeeAI ensure the quality of multimodal data collected?
What makes FutureBeeAI’s multimodal data collection services unique?
Can FutureBeeAI handle large-scale multimodal data collection projects?
Does FutureBeeAI offer end-to-end multimodal data collection and annotation services?
How does FutureBeeAI collect multimodal data ethically?
Ready to Build Smarter AI with Custom Multimodal Data?
Elevate your AI and machine learning projects with FutureBeeAI’s expertly curated multimodal data collection and annotation services.