Object and Animal Detection Sample Clauses

Object and Animal Detection. OAD (TE-202) – UPDATE‌ For the initial version of the blank image (emptiness) and animal detection extractor we integrated a HoG (Histogram of oriented Gradients) detector [DT05]. In order to train the detector for the Zooniverse data set, we annotated a large subset (region annotations) for all 43 animal classes of the Snapshot Serengeti data set. Though this extractor was released as first version of the MICO animal extractor we did not expect the best results due to the difficulty image content and the limitedness of the HoG approach for detection deformable objects such as animals. Therefore we rather considered the approach as baseline for the final implementation. In Year 3, we will improve the blank image and animal detection extractor as well as the animal classification using two approaches:
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