Scenic

Jax library for computer vision research and beyond.

CommonProductProductivityComputer VisionAttention Model

Scenic is a code library dedicated to computer vision research based on attention models. It offers optimized training and evaluation loops, baseline models, and more, suitable for image, video, and audio multimodal data. Providing SOTA models and baselines, Scenic supports rapid prototyping and is free to use.

Provides template code for launching experiments
Optimizes training and evaluation loops
losses
and metrics
Supports input pipelines for common visual datasets
Provides powerful non-attention baseline models

Used for computer vision research
image recognition
video segmentation
and more.

Computer vision researchers use Scenic to develop image classification models
Academia uses Scenic for multi-modal fusion research
The image processing field uses Scenic to train reinforcement learning algorithms

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Scenic Visit Over Time

Monthly Visits

488643166

Bounce Rate

37.28%

Page per Visit

5.7

Visit Duration

00:06:37

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