nilboy/tensorflow-yolo
A TensorFlow implementation of the YOLO deep learning model for real-time object detection.
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This repository provides a TensorFlow implementation of YOLO (You Only Look Once), a well-known real-time object detection system. It includes utilities for training the model on standard computer vision datasets like Pascal VOC, converting data to TFRecord format, and running detection tests on images. The implementation handles the complete ML workflow from data preprocessing to model training and inference.
Frequently asked
- What is nilboy/tensorflow-yolo?
- A TensorFlow implementation of the YOLO deep learning model for real-time object detection.
- Is tensorflow-yolo open source?
- Yes — nilboy/tensorflow-yolo is an open-source project tracked on heatdrop.
- What language is tensorflow-yolo written in?
- nilboy/tensorflow-yolo is primarily written in Python.
- How popular is tensorflow-yolo?
- nilboy/tensorflow-yolo has 768 stars on GitHub.
- Where can I find tensorflow-yolo?
- nilboy/tensorflow-yolo is on GitHub at https://github.com/nilboy/tensorflow-yolo.