GitHub / juliuszlosinski / Imbalanced-Data-Problem-for-Image-Detection-Two-Stage-Detectors
Imbalanced data problem image/maritime flags detection. Balancing by using SMOTE, ADASYN, Augmentation, Autoencoder and DGAN. Detection by using two-stage dectetors like: R-CNN, Faster R-CNN and Mask R-CNN.
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PURL: pkg:github/juliuszlosinski/Imbalanced-Data-Problem-for-Image-Detection-Two-Stage-Detectors
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 316 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: convolutional-neural-networks, deep-learning, faster-rcnn, image-detection, imbalanced-data, machine-learning, maritime-data-science, mask-rcnn, neural-networks, rcnn