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YOLO V1 implementation in Tensorflow 1 using Darknet-19 as backbone

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YOLO-V1-TF1

This repository contains an implementation of YOLO v1 (You Only Look Once version 1) using TensorFlow 1. YOLO is a popular object detection algorithm known for its speed and accuracy using Darknet-19 as backbone.

Features

  • Implementation of the YOLO v1 algorithm
  • Training and inference scripts
  • Pre-trained weights for quick start
  • Evaluation metrics for model performance

Installation

  • Clone YOLO-V1-TF1 repository
git clone https://github.com/strcoder4007/YOLO-V1-TF1.git
cd YOLO-V1-TF1
  • Run the download script to Download Pascal VOC dataset, and create correct directories
./download_data.sh
  • Download YOLO_small weight file and put it in data/weight

Configuring Hyperparameters

Modify configuration in yolo/config.py

Training

python train.py

Test

python test.py

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YOLO V1 implementation in Tensorflow 1 using Darknet-19 as backbone

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