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TrainDataLab

Projects

Representative Projects

Every project presented on this website represents a generalized engineering capability derived from real production workflows. To protect client confidentiality, all examples are anonymized and use representative assets rather than customer-owned data.

Capability demonstration

Product Photography

Generate production-ready product imagery by integrating isolated products into realistic environments while preserving geometry, lighting, perspective, and material appearance.

Input
Product image · Environment image
Instruction
Place the cup on the center of the saucer, with the handle pointing right.
Output
Photorealistic composite image.

Engineering focus

  • Natural lighting
  • Perspective matching
  • Shadow generation
  • Material preservation
  • Visual consistency

Typical applications

Product catalogs · E-commerce · Retail AI · Marketing assets

Isolated product input for Product Photography
Input
Target environment for Product Photography
Environment
Photorealistic product composite output
Output

Capability demonstration

Shape Transformation

Generate realistic physical transformations of products while preserving identity and material characteristics — including crushing, squeezing, bending, stretching, and deforming.

Input
Product image
Instruction
Flatten the blue ball into a flat disk.
Output
Realistically transformed product.

Engineering focus

  • Identity preservation
  • Texture consistency
  • Realistic deformation
  • Artifact prevention

Typical applications

Synthetic datasets · Visual reasoning · Physics-aware models

Original object before shape transformation
Input
Object after realistic physical deformation
Output

Capability demonstration

Product Bundle Composition

Create realistic commercial scenes by combining multiple isolated products into a single composition.

Input
Product image A · Product image B
Instruction
Place the jar and cup side-by-side on the countertop in front of the tray.
Output
Photorealistic bundle composition.

Engineering focus

  • Composition
  • Scale consistency
  • Lighting balance
  • Realistic positioning

Typical applications

Cross-selling · Promotional assets · Marketplace bundles · E-commerce

Isolated product A for bundle composition
Input A
Isolated product B for bundle composition
Input B
Combined photorealistic product bundle
Output

Capability demonstration

Object Consistency

Generate photorealistic scene compositions by placing isolated objects into realistic environments while preserving geometry, scale, perspective, lighting, shadows, and material appearance.

Input
Object image · Environment image
Instruction
Place the glass vase on the wall shelf, with a framed photo on the left and a matching vase on the right.
Output
Photorealistic composite image.

Engineering focus

  • Accurate object placement
  • Perspective matching
  • Natural lighting
  • Shadow generation
  • Scale consistency
  • Material preservation
  • Seamless scene integration

Typical applications

Synthetic training datasets · Computer Vision · Object Detection · Scene Understanding · AI Model Training · Visual Data Generation

Isolated object for consistency demonstration
Input
Object placed into a realistic scene
Output

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