Directory
├── 🎇 Original_open_image_dataset (from Downloading)
│
├── 🎇 filtered_train_images
│ ├── aggregated
│ ├── class_names
│ ├── .....
│
├── 🎇 filtered_validation_images
│ ├── aggregated
│ ├── class_names
│ ├── .....
│
├── 🎇 filtered_test_images
│ ├── aggregated
│ ├── class_names
│ ├── .....
│
├── annotations
│ ├── 🎇 train-annotations-bbox.csv
│ ├── validation-annotations-bbox.csv
│ ├── 🎇test-annotations-bbox.csv
│
├── 🎇saved_model
│ ├── checkpoint
│ ├── train
│ ├── train_log_file (Used for Tensorboard)
│ ├── eval
│ ├── eval_log_file (Used for Tensorboard)
│
├── 🎇 train_tfrecords
│ ├── oid_30_class_train.record-0000x-of-00005
│
├── 🎇 valid_tfrecords
│ ├── oid_30_class_val.record-0000x-of-00005
│
├── py
│ ├── open_images_dataset_30_class_parsing.py (Parse 30 classes out of entire classes and save images)
│ ├── create_oid_v4_tf_record.py (Generate TFRecord files for Train & Validation)
│
├── centernet_hourglass104_512x512_amenity_30class.config (Model Configuration File)
│
├── oid_v4_label_map_amenity_30_class.pbtxt (label id-name mapping files)
│
├── class-descriptions-boxable.csv (Consists of all 'ids' for classes and 'names' {human-readable string format} of Open Image Dataset)
│
├── notebooks
│ ├── Amenity_Detection.ipynb ( Download arguments & Train)
│ ├── Evaluation.ipynb (Validation & Tensorboard)