tensorflow-yolo is an implementation of YOLO (You Only Look Once) object detection in TensorFlow, aiming to deliver an efficient and high-performance solution for real-time object detection tasks. This repository provides the full source code for training and evaluating YOLO models with TensorFlow.
- Real-Time Object Detection: Built with YOLOv3, known for its speed and accuracy.
- Custom Dataset Training: Capability to train on custom datasets, allowing for the detection of various object types.
- TensorFlow 2 Support: Fully compatible with TensorFlow 2.x, ensuring efficient computation and integration with the TensorFlow ecosystem.
- Pre-trained Models: Easy access to pre-trained weights for fast model initialization.
- Optimized Performance: Fine-tuned configurations for high performance on both CPU and GPU.
- Clone the repository:
git clone https://github.com/lucas-dunn/tensorflow-yolo.git