For example, Fine-tuning deep CNN models on specific MS COCO categories (PDF). It covers our freely available software py-faster-rcnn-ft which allows straightforward fine tuning of deep convolutional neural networks for image classification.
Passive acoustic monitoring (PAM) has become a powerful tool for studying wildlife by continuously recording environmental soundscapes. However, analysing large acoustic datasets remains highly time-consuming, as recordings are often annotated manually by domain experts. In Read more
Building reliable AI models depends not only on how much data is annotated, but on the quality and meaning of the labels used during annotation. In many workflows, labels are flat, task-specific class names. They Read more
Image annotation remains a significant bottleneck in image analysis pipelines. In research settings especially, annotating large image corpora demands substantial effort, often forcing teams to compromise on quality by resorting to coarser methods like point Read more