BMW-InnovationLab/BMW-YOLOv4-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
This tool helps engineers, researchers, and computer vision specialists quickly train robust object detection models for their specific use cases. You provide your images and their corresponding labels, and the system automates the complex deep learning training process. The output is a highly accurate object detection model that can identify objects in new images or video feeds.
658 stars. No commits in the last 6 months.
Use this if you need to train an object detection model with your own custom dataset but want to avoid the complexities of deep learning infrastructure setup and coding.
Not ideal if you need to develop entirely new deep learning architectures or require fine-grained control over every aspect of the training code.
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658
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127
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jul 12, 2023
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