Skip to content

BharathwajManoharan/Butterfly_Classification_ResNet50

 
 

Repository files navigation

butterfly-classification-resnet50

  • Train, Test. Validation data set for 100 butterfly or moth species. All images are 224 X 224 X 3 in jpg format .
  • Train set consists of 12639 images partitioned into 100 sub directories one for each species.
  • Test set consists of 500 images partitioned into 100 sub directories with 5 test images per species.
  • Valid set consists of 500 images partitioned into 100 sub directories with 5 validation images per species.
  • A CSV files is included. The butterflies.csv file consists of 3 columns with 13639 rows, one row for each image in the dataset. The columns are filepaths, labels and data set. The filepaths column contains the relative path to the image.
  • The labels column contains the species label associated with the image file. The data set column specifies which dataset (train, test or valid) the associated image belongs to.

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.3%
  • Python 0.7%