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Solving Data-Centric AI’s Data Bottleneck with On-Demand Data: A Data Seeds Case Study

  • Ron
  • May 27
  • 3 min read

How DataSeeds is solving key data-centric AI challenges with easily accessible high-quality image datasets. 


As the AI industry begins to increasingly adopt “data-centric” approaches to AI, the challenge of accessing high-quality proprietary datasets has increasingly come into focus. Of the hundreds of thousands of datasets available for purchase, very few are able to meet the diverse demands of researchers. To that end, model builders often hit a data bottleneck, shifting their focus from the important tasks at hand in order to become quasi data-procurement specialists. This is especially true in computer vision fields like image-to-video synthesis and text-to-image generation, which demand massive domain-specific image collections, with full licensing and compliance controls in place, on a near-instantaneous basis in order to train or fine-tune their models. 


In this case study, we explore the hurdles of data-centric model building and illustrate how Data Seeds has helped prospective clients overcome these hurdles by delivering rapid, high-quality image data on demand. We’ll highlight common issues with public datasets (e.g. COCO, ImageNet, Cityscapes) and contrast them with DataSeeds’ agile, custom data sourcing, using real case examples in retail and construction AI. 


Key Challenges of Data-Centric Model Building


Adopting a data-centric approach to model building means looking at the underlying model data as an area that can yield quantifiable improvements. But this approach, much like the model-centric approach which preceded it, inevitably comes with several key challenges. Most notably, access to high-quality data with ground truth, diversity & bias, domain-specific scarcity, and notoriously slow and cumbersome data procurement processes.





Rapid On-Demand Image Collection: Case Studies

Two recent on-demand requests from prospective clients exemplify our ability to meet tight deadlines without compromising quality:



Shopping Bags Dataset

We collected 2,027 high-resolution photos within 48 hours, providing a rich visual resource for retail and ecommerce AI applications. These images reflect diverse real-world use, shopping environments, and bag designs.




Example from the Shopping Bags dataset (captured in a realistic indoor setting).
Example from the Shopping Bags dataset (captured in a realistic indoor setting).


A contextual outdoor view showing real-life usage of shopping bags. Ideal for training retail and pedestrian detection models
A contextual outdoor view showing real-life usage of shopping bags. Ideal for training retail and pedestrian detection models


Drone Construction Views

In just 56 hours, we amassed 1,717 aerial images capturing construction sites from multiple angles, supporting AI models in construction monitoring and urban development.



Aerial view showing a rural infrastructure project. Perfect for temporal and progress-tracking AI.
Aerial view showing a rural infrastructure project. Perfect for temporal and progress-tracking AI.

Urban construction scenario—providing diverse settings for AI to learn from varied environmental factors
Urban construction scenario—providing diverse settings for AI to learn from varied environmental factors




Comprehensive Dataset Categories to Power Diverse AI Use Cases


Data Seeds offers extensive coverage across numerous categories, enabling AI developers to train models tailored to specific domains and use cases. Our datasets support a wide range of AI applications, including object detection, semantic segmentation, facial recognition, and more.


Key categories include:


Category

Application

Urban Life & Architecture

Smart city navigation & recognition

People & Portraits

Facial & expression analysis

Nature & Landscapes

Ecological AI & modeling

Transportation & Vehicles

Autonomous driving & traffic

Animals (Domestic & Wild)

Species ID & tracking

Food & Beverages

Calorie & menu recognition

Fashion & Accessories

Virtual try-ons & e-commerce

Work & Technology

Workspace & productivity AI

Sports & Fitness

Motion capture & performance

Home & Lifestyle

Smart interior design

Emotions & Expressions

Sentiment analysis

Art & Creativity

Art style AI & generation

Events & Celebrations

Crowd analysis & moments

Other Targeted Categories

Flora, weather, OCR


Leveraging Data Seeds Datasets for Superior AI Model Training


Unlike many generic public datasets such as COCO, ImageNet, or Cityscapes, which may lack specificity or rapid availability, Data Seeds offers:


  • Tailored, Ethically Sourced Data: Authentically human-generated and diverse.

  • Rich Metadata and Annotations: Including object relationships, bounding boxes, and camera settings.

  • Global Coverage and Variety: Enabling models to train on geographically and culturally diverse content.

Rapid On-Demand Collection: Thousands of custom images in under 48 hours.



Why Data Seeds Stands Out


Data Seeds is dedicated to supplying the foundational datasets needed for model training.

  • Unmatched Speed: From concept to delivery in days.

  • Extensive Category Range: Tailored to industries from retail to healthcare.

  • Scalable Global Contributor Network: Ready to respond instantly to data requests.


Unlock the full perspective of your AI models with Data Seeds, where speed, quality, and diversity meet to accelerate your AI training needs.




 
 
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