PollenDataset

(C) 2017 Ivan Rodriguez, Rémi Mégret, Edgar Acuña, José Agosto, Tugrul Giray

This image dataset has been created from videos captured at the entrance of a bee colony in June 2017 at the Bee facility of the Gurabo Agricultural Experimental Station of the University of Puerto Rico.

Repository content

• images/ contains images for pollen bearing and no pollen bearing honey bees.

  • The prefix of the images names define their class: e.g. NP1268-15r.jpg for non-pollen and P7797-103r.jpg for pollen bearing bees. The numbers correspond to frame and item number respectively, you need to be careful that they are not numbered sequentially.

• Read-skimage.ipynb Jupyter notebook for simple script to load the data and create the dataset using skimage library.

Acknowledgement

This dataset is based upon work supported by the National Science Foundation under Grant No. 1707355 and 1633184.

If you publish work based on this dataset, please cite the following publication:

• Ivan Rodriguez, Rémi Mégret, Edgar Acuña, José Agosto, Tugrul Giray. Recognition of pollen-bearing bees from Video using Convolutional Neural Network, (accepted at) IEEE Winter Conf. on Applications of Computer Vision, 2018, Lake Tahoe, NV.

Thanks to UPR students Grace Rodriguez, Christian Esteves and Emmanuel Nieves for their help in the video annotations. Thanks to UPR students Stephanie Feliciano and Janpierre Aleman for their help in the development of the camera system.