AI ConsultingSearch · AI2022
Tovera
AI-powered reverse image search engine.
97%Performance Gain
Challenge
After acquiring SnifflesNFT, Tovera's reverse search engine had accuracy and speed limitations that were becoming insufficient to serve its growing user base.
Approach
Bottlenecks in the existing pipeline were identified. A hybrid architecture was designed consisting of visual feature extraction, hash-based pre-filtering, and deep learning-based verification stages. Each layer was independently optimized; end-to-end accuracy improved by 97%.
Technologies
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- AWS
- Docker
Outcome
97%Performance Gain
Reverse search performance improved around 97% through algorithmic enhancements and multiple AI techniques.
Next step
Build the next AI capability your company can actually use.
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