But all these efforts are worth it. There are several advantages to collecting data this way. Diversity.
If ten people take a picture of the same subject, you get ten different images. You don't have to worry about the fact that the same image appears several times in your training dataset. Size.
You are not working with just any dataset you can get your hands on—no need to think about web scraping or data augmentation. You simply get a dataset of the size you need to train the model well. Quality.
Images can be taken with professional cameras or regular smartphones. Flexibility.
You control all the aspects. Size, distance to the object, number of objects, angles, lighting, environment, the position of objects. Metadata.
Finally, the dataset can be supplemented with whatever metadata you need to work with.
Perhaps this data collection method is exactly what you need. Contact
us if you have any questions, and we will be happy to assist you.