ACUITY Dataset Examples

This package contains information about the database format used by ACUITY for storing Training and Testing images. Sample scripts for ImageNet and PASCAL VOC are also provided.

ACUITY supported dataset

SQLite Database format

ImageNet Example (SQlite)

See ReadMe.md in ImageNet folder for details

PASCAL Example (SQlite)

See ReadMe.md in PASCAL folder for details

MNIST and INRIA Example (SQlite)

Pre-built Dataset for Mnist and INRIA

Text format

ImageNet Exmaple (Text)

ImageNet/dataset.txt contains example of the text dataset format

ILSVRC2012_VAL_SET (Text)

ILSVRC2012_VAL_SET/dataset.txt contains a pre-built small validation set of images from ILSVRC2012 ImageNet

SQLite Database Format

Default.dsx is an empty ACUITY SQlite dataset file

# Use sqlitebrowser to view Dataset schema and content
sqlitebrowser Default.dsx

# Tables
There are 5 tables in the Dataset

"files" Table
This table contains the path to the resource files (typically Images) in the
Database.
    -id: Unique key identifying the file
    -name: File name without extension
    -ext: File extension

"groups" Table
This table contains the group entry - "Training" and "Testing"
    - id-name: 1-Training, 2-Testing

"labels" Table
This table contains the labels or classes for associated with the dataset. For
example, ILSVRC dataset contains 1000 classes with each class identifying a
particular type of objects 
    - id: Unique key identifying the label
    - name: String name for the label
    - description: String description

"boxed_annotations" Table
This is the master table which contains information about all the images in the
dataset using the metadata in the other tables. 

    - id: Unique key identifying this annotation
    - label_id: label id associated with this annotation
    - group_id: Identify whether this annotation is used for Training or Testing
    - file_id: The image file for this annotation
    - x/y/w/h: ROI window from the image where this annotation is located

"validation_results" Table
This table stores the validation result from running Validation of the network
    - id: Unique key identifying the result
    - session_timestamp: Time Stamp for the inference
    - file_id: Image file used for this inference
    - boxed_annotation: id key into the box_annotation table
    - expected_label/calculated_label
    - score: Top1 score of the inference
    - result_vector: Values from the output vector of the network

Text Dataset format

Text Dataset format is a comma separated text file with each line containing
the file location and label.

 ./data/ILSVRC2012_val_00000347.JPEG, 472, 0 0 28 28, validate # Use for validate only, crop pad "0,0,28,28", lable is 472
 ./data/ILSVRC2012_val_00000355.JPEG, 260, 1 1 29 29, train    # Use for traine only, crop pad "1,1,29,29", lable is 260
 ./data/ILSVRC2012_val_00000361.JPEG, 300, , train             # Use for train only, no crop pad, label is 300