'Computer Vision' teams struggle with training data putting projects at risk

The field of Computer Vision -- which looks at how computers can understand digital images or videos -- is a relatively new one, but like any branch of AI it relies on data to train systems effectively. Synthetic data specialist Datagen has released a new report looking at training data in CV projects and finds that it has become a significant stumbling block. Particular issues include wasted time and/or resources caused by a need to retrain the system often (52 percent), poor annotation resulting in quality issues (48 percent), poor data coverage of the intended application’s domain (47 percent) and… [Continue Reading]