JdeRobot/PerceptionMetrics
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
This toolkit helps autonomous systems engineers and AI researchers quickly and reliably evaluate the performance of their object detection and segmentation models. It takes in trained models and datasets from various sensors like cameras and LiDAR, and outputs consistent performance metrics. This allows users to easily compare different models and ensure they meet real-world operational requirements.
Use this if you need to systematically compare how well different object detection or segmentation AI models perform on various datasets and sensor types, without being limited by specific development frameworks.
Not ideal if you are solely performing inference with a single model and do not need to compare its performance against others.
Stars
93
Forks
84
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/JdeRobot/PerceptionMetrics"
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