pierluigiferrari/ssd_keras
A Keras port of Single Shot MultiBox Detector
This is an accurate and well-documented implementation of the Single Shot MultiBox Detector (SSD) model, designed for developers working with computer vision. It takes images as input and outputs identified objects with bounding boxes, allowing you to train models to detect specific items in visual data. The primary users are machine learning engineers or researchers who need a reliable and understandable SSD implementation to build upon or fine-tune for their projects.
1,873 stars. No commits in the last 6 months.
Use this if you are a machine learning developer or researcher who needs to implement, understand, or fine-tune an SSD model for object detection tasks with clear documentation and consistent performance.
Not ideal if you are a non-developer seeking a ready-to-use application for object detection without needing to delve into model architecture or training.
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1,873
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925
Language
Python
License
Apache-2.0
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Last pushed
Apr 21, 2022
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