roboflow-python and roboflow-100-benchmark

roboflow-python
72
Verified
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 15/25
Stars: 545
Forks: 114
Downloads:
Commits (30d): 108
Language: Python
License: Apache-2.0
Stars: 288
Forks: 29
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About roboflow-python

roboflow/roboflow-python

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

This tool helps developers build and deploy computer vision applications by managing datasets and models. You can upload images and annotations, train models, and run predictions using models hosted on Roboflow or self-hosted. It's designed for developers building computer vision solutions.

computer-vision-development machine-learning-engineering object-detection-development image-classification-development data-management-for-ml

About roboflow-100-benchmark

roboflow/roboflow-100-benchmark

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

This project provides a standardized set of 100 diverse image datasets to help computer vision engineers and researchers evaluate how well different object detection models perform across various real-world scenarios. It allows you to download these datasets, structured in common formats like COCO or YOLO, and then run your object detection models to see how accurately they identify objects. The primary users are practitioners who build and test AI models for visual tasks.

computer-vision object-detection model-benchmarking image-analysis machine-learning-evaluation

Scores updated daily from GitHub, PyPI, and npm data. How scores work