Vision Projects

Advancing image understanding and generation with focus on efficiency

Image Understanding

Advancing image analysis and understanding capabilities

New Image Embeddings

Q4 2024 - Q3 2025

Developing improved image representation techniques

Key Outcomes

  • Novel embedding architecture
  • Cross-modal compatibility
  • Cultural context awareness
  • Efficient computation

Future Plans

  • Scale to larger datasets
  • Add more domains
  • Improve efficiency
  • Create visualization tools

Key Metrics

Dimension
1.0K
Speed
5ms/image
Accuracy
94%
Compression
75%

Image to Text

Q4 2024 - Q4 2025

Creating accurate image captioning systems in Telugu

Key Outcomes

  • Telugu caption generation
  • Cultural context awareness
  • Multi-lingual support
  • Style control

Future Plans

  • Expand language support
  • Improve accuracy
  • Add style variants
  • Create demo platform

Key Metrics

Languages
5
Bleu Score
38.5
Latency
200ms
Accuracy
92%

Generation & Retrieval

Creating efficient image generation and retrieval systems

Low-Resource Image Generation

Q2 2024 - Q4 2025

Developing efficient image generation models

Key Outcomes

  • Lightweight architecture
  • Mobile optimization
  • Quality metrics
  • Style preservation

Future Plans

  • Reduce model size
  • Improve generation speed
  • Add more styles
  • Create mobile SDK

Key Metrics

Model Size
2GB
Gen Time
2s
Fid
18.5
Styles
10

Image RAG Systems

Q3 2024 - Q4 2025

Building retrieval-augmented generation for images

Key Outcomes

  • Retrieval pipeline
  • Context integration
  • Multi-modal search
  • Quality filters

Future Plans

  • Scale image database
  • Improve relevance
  • Add semantic search
  • Create API

Key Metrics

Db Size
10M images
Recall
95%
Latency
100ms
Precision
92%

Performance Metrics

Key indicators of our vision technologies

Model Efficiency

Average Model Size
2.5GB -40%
Inference Time
150ms -25%
Memory Usage
4GB -30%

Quality Metrics

FID Score
18.5 +15%
BLEU Score
38.5 +12%
User Satisfaction
4.6/5 +8%

Core Technologies

Efficient Architectures

Optimized model architectures for low-resource environments

  • Mobile-first design
  • Memory optimization
  • Battery efficiency
  • Edge deployment

Cultural Context

Systems designed for Indian visual elements and context

  • Local style awareness
  • Cultural preservation
  • Context sensitivity
  • Regional adaptation

Multi-modal Integration

Seamless integration of vision and language

  • Cross-modal learning
  • Joint representations
  • Unified processing
  • Context transfer