/GlobalWheatDetection

Repository containing materials for Global Wheat Detection competition on Kaggle

Primary LanguageJupyter Notebook

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GlobalWheatDetection

Repository containing materials for Global Wheat Detection competition on Kaggle

Link to EDA on Kaggle

Demo of different models

SSD demo

image SSD model notebook

Useful Papers and Links

Some interesting related papers and articles:

  1. Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV). The objective of this research is focused to automate the count of banana plants during early stage of growth, in which they are prone to lose maturity.
  2. Fine-grained recognition of plants from images. Fine-grained recognition of plants from images is a challenging computer vision task, due to the diverse appearance and complex structure of plants, high intra-class variability and small inter-class differences. We review the state-of-the-art and discuss plant recognition tasks, from identification of plants from specific plant organs to general plant recognition “in the wild”.
  3. Review of deep learning algorithms for object detection
  4. Fast Detection Models
  5. SSD Tutorial, SSD implementation in pytorch
  6. EfficientDet
  7. CutMix paper