How do I prepare data for object detection?

How do I prepare data for object detection?

To prepare data for object detection, you need to collect images, annotate them with bounding boxes, and split them into training and testing sets.

What tools can I use for annotating images?

You can use tools like LabelImg, VGG Image Annotator, or RectLabel for annotating images with bounding boxes.

How many images do I need for a good model?

It depends on the complexity of the task, but generally, thousands of images are recommended for better performance.

What format should the annotations be in?

Common formats include Pascal VOC XML, COCO JSON, or YOLO text files. Choose one that suits your model.

Can I use pre-trained models for my data?

Yes, using pre-trained models can significantly speed up training and improve accuracy, especially with limited data.