How Many Images Do I Need for My Computer Vision Model? (2023 Guide) — Theos AI

This is one the big questions all of us ask ourselves when training an artificial neural network for a specific computer vision task. But is there an exact answer? As with all in life, it depends. A computer vision model can work very well with just 100 images, 1000 images or 1 million images. It depends on the nature of your data and the level of accuracy you need to achieve. Generally, the more data, the better the AI model. At Theos we always recommend our clients to start with just 100 images, then train an initial model and see how it performs. If they need more accuracy, add another 500 images and retrain, then 1000, then 5k, 15k and so on. Luckily, after each iteration they can leverage their improved model with our magical Autolabeler to help them label the next batch of images 100 times faster than doing it manually. Your training data should be as close as possible to the data on which you will be making predictions. For example, if your use case involves low-resolution image

This is one the big questions all of us ask ourselves when training an artificial neural network for a specific computer vision task. But is there an exact answer? As with all in life, it depends. A computer vision model can work very well with just 100 images, 1000 images or 1 million images. It depends on the nature of your data and the level of accuracy you need to achieve. Generally, the more data, the better the AI model. At Theos we always recommend our clients to start with just 100 images, then train an initial model and see how it performs. If they need more accuracy, add another 500