This paper reports on the challenge results on the 2019 dataset, which extends the first edition dataset provided by the SafeShore project with additional footage under different conditions. 展开 会议名称: 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) ...
To address this issue, the development of a standard dataset that provides images of both drones and birds is essential for training accurate and effective detection models. In this context, we present a dataset consisting of images of drones and birds operating in various environments. This ...
In particular, three original approaches based on different deep learning strategies are proposed and compared on a real-world dataset provided by a consortium of universities and research centers, under the 2020 edition of the Drone vs. Bird Detection Challenge. Results show that there is a range...
2.1. Dataset The training set for the challenge consists of 77 different videos. The videos comprise 1384 frames on average, while each frame contains on average 1.12 annotated drones. Eleven of these videos originate from the previous installment of the challenge and were collected using MPEG4-co...