This is a dataset that I collected to train my own Kermit detector with TensorFlow's Object Detection API. Images are from Google. In total, there are 110 images (101 are used for training and 9 for validation).
- data: contains the input file for the TF object detection API and the label files (csv)
- images: contains the image data in jpg format and the xml files in PASCAL VOC format
- training: contains the pipeline configuration file, frozen model and labelmap
- a few handy scripts: generate_tfrecord.py is used to generate the input files for the TF API and xml_to_csv.py is used to convert the xml files into one csv
- jupyter notebooks: draw boxes is used to plot some of the data