This Python library provides a programmatic interface for the Remo application, focusing on the management of computer vision images and annotations. It enables developers to interact with dataset assets and label metadata through a dedicated API for computer vision workflows.
Use Cases
- Extract annotation labels and image paths from Remo to generate training manifests for computer vision models
- Upload new image batches to the Remo platform for annotation using the library's upload functions
- Query and filter image metadata within the Remo ecosystem to curate specific subsets for model evaluation
Strengths
- Python-native library for interacting with the Remo computer vision platform
- Includes functions for managing image assets and annotation records
- Facilitates programmatic access to computer vision datasets stored in the Remo app