Animal Datasets

Animal datasets are crucial for developing and evaluating computer vision models to analyze animal behavior, ecology, and conservation. Current research focuses on improving the accuracy and efficiency of deep learning models, particularly those employing transformer architectures and techniques like curriculum learning and super-resolution, to address challenges posed by imbalanced datasets, sparse annotations, and the complexities of animal movement and interactions. These advancements are enabling more robust and reliable automated analysis of animal videos and audio recordings, with applications ranging from wildlife monitoring to precision livestock farming.