YOLOv7 Workflow: Dataset Creation, Training, and Deployment
Explore how to prepare datasets, configure and train YOLOv7 for object detection, and perform inference. Understand converting models to ONNX to deploy optimized models on edge devices efficiently.
We'll cover the following...
We'll cover the following...
Dataset preparation
Let’s look at how we can create a dataset using open images. In the openimages/src/prepare_dataset.ipynb file, we will download a dataset of three classes: airplane, bus, and bicycle. The dataset also contains their object detection annotations in YOLO format. As the next step in the same tutorial, we will discover how to prepare the extracted dataset into the correct structure to use directly for the training step.
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Training
Once the dataset is prepared, we can proceed to ...