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diatoms_detector
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H.T. Kruitbosch aca0d89a85
InceptionV3 true/false classifier 		4 years ago
annotations InceptionV3 true/false classifier 4 years ago
images InceptionV3 true/false classifier 4 years ago
.gitignore Initial commit 4 years ago
Create True - False data.ipynb InceptionV3 true/false classifier 4 years ago
List tensorflow devices.ipynb InceptionV3 true/false classifier 4 years ago
Load Image test.ipynb InceptionV3 true/false classifier 4 years ago
Pretrained Inception True - False Classification.ipynb InceptionV3 true/false classifier 4 years ago
README.md InceptionV3 true/false classifier 4 years ago

README.md

Diatoms detector

Detects diatoms in 256 x 256 microscopic images, based on bounding box annotations. Negative samples are extracted as randomly created bounding boxes outside of the manual annotations. Uses a (the) imagenet-pretrained inceptionv3 model from keras.