Google Research
ViT (Vision Transformer)
Transformer architecture applied to image recognition
ScalabilityStrong performance on vision tasksFoundation for multimodal vision
Today's score
86.0
Where it ranks today
Best for / Not great for
Best for
- Image classification
- Object detection
- Building blocks for more complex multimodal systems
Not great for
- Direct text or audio processing
- Generative tasks without additional components
Why it ranks here
The Vision Transformer demonstrated the power of the Transformer architecture for image-based tasks, paving the way for many subsequent multimodal models that blend vision with other modalities. It remains a key research component.
30-day trend
Score breakdown
Search trends85
Benchmarks88
Developer buzz87
News mentions84
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Open Source Implementations
Access research code and pre-trained models
Free
- Code available on platforms like GitHub
- Various pre-trained checkpoints
- Research papers for guidance