balancap/SSD-Tensorflow
TensorFlow re-implementation of the Single Shot MultiBox Detector (SSD) for real-time object detection.
Not currently ranked — collecting fresh signals.
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This repository provides a TensorFlow implementation of SSD, a unified framework for object detection using a single neural network. It includes VGG-based SSD networks with 300 and 512 input resolutions, modular architecture for extending to other backbone networks like ResNet or Inception, and scripts for dataset handling (Pascal VOC, COCO), network definitions, and preprocessing routines.
Frequently asked
- What is balancap/SSD-Tensorflow?
- TensorFlow re-implementation of the Single Shot MultiBox Detector (SSD) for real-time object detection.
- Is SSD-Tensorflow open source?
- Yes — balancap/SSD-Tensorflow is an open-source project tracked on heatdrop.
- What language is SSD-Tensorflow written in?
- balancap/SSD-Tensorflow is primarily written in Jupyter Notebook.
- How popular is SSD-Tensorflow?
- balancap/SSD-Tensorflow has 4.1k stars on GitHub.
- Where can I find SSD-Tensorflow?
- balancap/SSD-Tensorflow is on GitHub at https://github.com/balancap/SSD-Tensorflow.