Polar Bear Detection

Polar bears on aerial photography

Classical image filters propose candidate spots on 7360×4912 aerial frames; a MobileNetV3 detector confirms the bears.

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Algorithm

Stack
  • Python 3.8
  • Kedro
  • MLFlow
  • Pytorch
  • LabelMe
  • Albumentations
Dataset
  • 27 images with bears
  • 48 images without bears
  • 7360x4912 resolution
  • Vector labeling
  • Augmentation
Training
  • MobileNetV3
  • 250 epochs
  • GTX1080TI
  • Custom augmentation

Model

Pipeline scheme

Publications

Applications of Classical and Deep Learning Techniques for Polar Bear Detection and Recognition from Aero Photography

Mikhail A. Nakhatovich, Ilya Y. Surikov, Vladimir Chernook, Natalia Chernook, Daniil A. Savchuk

Springer Nature Singapore Pte Ltd. 2020, N. Chaubey et al. (Eds.): COMS2 2020, CCIS 1235, pp. 3–15

doi: 10.1007/978-981-15-6648-6_1

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