Data Collection & Sourcing Services
Acquire the right training data before annotation begins—custom dataset creation, ethical data sourcing, and strategic data acquisition from Australia's data intelligence experts.
Why Data Collection Matters
You can't annotate what you don't have. Before quality annotation begins, you need the right raw data—diverse, representative, ethically sourced, and aligned with your AI objectives. Many AI projects fail not from poor annotation, but from fundamentally flawed datasets.
Trusted by AI companies, research institutions, and innovation teams to source, collect, and curate high-quality raw datasets across industries and modalities.
The Data Collection Challenge
Common problems we solve
Insufficient Data Volume
You need 100K samples but only have 5K—not enough to train production-quality models.
Lack of Diversity
Your data doesn't represent real-world variety in demographics, scenarios, edge cases, or conditions.
Class Imbalance
Underrepresented classes, rare events, and edge cases are missing or severely undersampled.
Geographic Limitations
Data collected in one region doesn't generalize to target deployment markets.
Bias in Existing Data
Legacy datasets contain systematic biases that will propagate into your AI models.
Privacy & Consent Issues
Existing datasets lack proper consent, licensing, or privacy compliance for your use case.
Custom Dataset Creation
Purpose-built data acquisition for your AI training needs
Controlled Photography & Videography
Professional studio and field capture with precise control over conditions.
Sensor Deployment & Monitoring
Deploy IoT sensors and cameras to collect real-world environmental data.
Crowdsourced Data Acquisition
Leverage contributor networks for diverse, distributed data collection.
Laboratory & Clinical Collection
Specialized collection in controlled research and medical environments.
Multi-Modal Synchronized Datasets
Capture aligned data across multiple sensors and modalities.
Web Scraping & Data Aggregation
Ethical large-scale data collection respecting legal boundaries
Public Website Data Extraction
Professional scraping of publicly available web content at scale.
Social Media Content
Aggregate public social media data within platform policies.
E-commerce Product Data
Collect product listings, reviews, and catalog information.
News & Media Aggregation
Compile news articles, publications, and media content.
Government & Open Data
Access and process public records and government datasets.
Crowdsourced Data Collection
Distributed data acquisition at scale with quality control
Photography & Video Capture
Distributed image and video collection from contributor devices.
Audio Recording & Speech
Collect voice samples and audio across accents and dialects.
Mobile App-Based Collection
Deploy collection apps to gather data from user devices.
Document & Text Contribution
Crowdsource documents, forms, and text samples.
Licensed Dataset Acquisition
Navigate commercial data providers and negotiate licensing
Stock Photography & Video
Getty Images, Shutterstock, Adobe Stock, and premium content libraries.
Scientific & Research Datasets
Academic repositories and research institution data.
Medical Imaging Databases
Licensed clinical and diagnostic imaging collections.
Speech & Audio Corpora
Commercial speech recognition and audio training datasets.
Sensor Deployment & IoT Data
Deploy physical sensors to collect real-world training data
Fixed Camera Installations
Permanent camera networks for continuous monitoring.
Mobile Sensor Platforms
Vehicle-mounted or portable sensor systems.
Aerial Drone Surveys
Autonomous drone-based data collection campaigns.
Environmental Monitoring
Weather, climate, and environmental sensor networks.
Industrial Equipment Sensors
Factory floor and manufacturing process monitoring.
Synthetic & Simulated Data Generation
Computer-generated training data for rare scenarios, dangerous situations, or privacy-sensitive use cases
Photorealistic Rendered Images
CGI images indistinguishable from real photography.
Game Engine-Generated Data
Training data from Unity, Unreal, and simulation platforms.
Physics-Based Simulations
Scientifically accurate simulated scenarios.
Digital Twin Environments
Virtual replicas of real-world systems and spaces.
GANs & AI-Generated Samples
Neural network-generated training data.
Data Diversity & Bias Mitigation
Representative dataset construction ensuring fairness
Demographic Representation
Age, gender, ethnicity, and population diversity.
Geographic & Cultural Diversity
Multi-region, multi-cultural data coverage.
Environmental Conditions
Weather, lighting, seasonal, and temporal variety.
Scenario Complexity
Edge cases, rare events, and challenging situations.
Industry-Specific Data Collection
Healthcare & Medical AI
- Partner with healthcare institutions for clinical data
- IRB-approved research protocols
- HIPAA-compliant data collection
- Patient consent management
Autonomous Vehicles
- Instrumented vehicle fleets
- Multi-sensor synchronized capture
- Diverse driving scenarios and conditions
- Safety driver protocols
Retail & E-commerce
- Product photography across conditions
- Store environment imagery
- Customer interaction data
- Multi-marketplace coverage
Agriculture & Environment
- Crop and field imagery
- Satellite and aerial data
- Weather and soil sensor data
- Multi-season coverage
Data Collection at Scale
Samples collected
Countries covered
Ethically sourced
Collection capability
Why Choose AI Taggers for Data Collection
End-to-end acquisition
From strategy to delivery—complete data collection lifecycle management.
Global reach
Collect data across geographies, languages, and cultures.
Crowdsourcing networks
Access to distributed contributor networks for diverse collection.
Multi-modal collection
Images, video, audio, text, sensor data, and more.
Ethical sourcing
Privacy-compliant, consent-based data acquisition.
Data Collection Process
Requirements Analysis
Understand your AI objectives, define data specifications, identify diversity requirements, and establish quality standards. (1 week)
Collection Strategy Design
Design optimal collection approach—custom capture, crowdsourcing, licensed data, partnerships, or combination. (1-2 weeks)
Data Acquisition Execution
Execute collection campaigns with quality monitoring, diversity tracking, and progress reporting. (2-8 weeks)
Curation & Delivery
Clean, organize, and prepare data for annotation. Deliver annotation-ready datasets with documentation. (1-2 weeks)
Real Results From Data Collection Projects
"AI Taggers didn't just annotate our data—they helped us build the dataset from scratch. Their collection strategy filled diversity gaps we didn't even know we had."
VP of AI
Computer Vision Startup
"When we needed medical imaging data with proper consent and IRB approval, AI Taggers navigated the complexity and delivered a dataset that passed regulatory review."
Chief Science Officer
Healthcare AI Company
Start Your Data Collection Project
Whether you need custom dataset creation, ethical data sourcing, or strategic data partnerships, AI Taggers delivers the training data foundation your AI needs.