santoshmo / cubstot7 Goto Github PK

===========================================
The Caltech-UCSD Birds-200-2011 Dataset
===========================================

For more information about the dataset, visit the project website:

  http://www.vision.caltech.edu/visipedia

If you use the dataset in a publication, please cite the dataset in
the style described on the dataset website (see url above).

Directory Information
---------------------

- images/
    The images organized in subdirectories based on species. See 
    IMAGES AND CLASS LABELS section below for more info.
- parts/
    15 part locations per image. See PART LOCATIONS section below 
    for more info.
- attributes/
    322 binary attribute labels from MTurk workers. See ATTRIBUTE LABELS 
    section below for more info.



=========================
IMAGES AND CLASS LABELS:
=========================
Images are contained in the directory images/, with 200 subdirectories (one for each bird species)

------- List of image files (images.txt) ------
The list of image file names is contained in the file images.txt, with each line corresponding to one image:

<image_id> <image_name>
------------------------------------------


------- Train/test split (train_test_split.txt) ------
The suggested train/test split is contained in the file train_test_split.txt, with each line corresponding to one image:

<image_id> <is_training_image>

where <image_id> corresponds to the ID in images.txt, and a value of 1 or 0 for <is_training_image> denotes that the file is in the training or test set, respectively.
------------------------------------------------------


------- List of class names (classes.txt) ------
The list of class names (bird species) is contained in the file classes.txt, with each line corresponding to one class:

<class_id> <class_name>
--------------------------------------------


------- Image class labels (image_class_labels.txt) ------
The ground truth class labels (bird species labels) for each image are contained in the file image_class_labels.txt, with each line corresponding to one image:

<image_id> <class_id>

where <image_id> and <class_id> correspond to the IDs in images.txt and classes.txt, respectively.
---------------------------------------------------------





=========================
BOUNDING BOXES:
=========================

Each image contains a single bounding box label.  Bounding box labels are contained in the file bounding_boxes.txt, with each line corresponding to one image:

<image_id> <x> <y> <width> <height>

where <image_id> corresponds to the ID in images.txt, and <x>, <y>, <width>, and <height> are all measured in pixels




=========================
PART LOCATIONS:
=========================

------- List of part names (parts/parts.txt) ------
The list of all part names is contained in the file parts/parts.txt, with each line corresponding to one part:

<part_id> <part_name>
------------------------------------------


------- Part locations (parts/part_locs.txt) ------
The set of all ground truth part locations is contained in the file parts/part_locs.txt, with each line corresponding to the annotation of a particular part in a particular image:

<image_id> <part_id> <x> <y> <visible>

where <image_id> and <part_id> correspond to the IDs in images.txt and parts/parts.txt, respectively.  <x> and <y> denote the pixel location of the center of the part.  <visible> is 0 if the part is not visible in the image and 1 otherwise.
----------------------------------------------------------


------- MTurk part locations (parts/part_click_locs.txt) ------
A set of multiple part locations for each image and part, as perceived by multiple MTurk users is contained in parts/part_click_locs.txt, with each line corresponding to the annotation of a particular part in a particular image by a different MTurk worker:

<image_id> <part_id> <x> <y> <visible> <time>

where <image_id>, <part_id>, <x>, <y> are in the same format as defined in parts/part_locs.txt, and <time> is the time in seconds spent by the MTurk worker.
----------------------------------------------------------



=========================
ATTRIBUTE LABELS:
=========================

------- List of attribute names (attributes/attributes.txt) ------
The list of all attribute names is contained in the file attributes/attributes.txt, with each line corresponding to one attribute:

<attribute_id> <attribute_name>
------------------------------------------------------------------


------- List of certainty names (attributes/certainties.txt) ------
The list of all certainty names (used by workers to specify their certainty of an attribute response of is contained in the file attributes/certainties.txt, with each line corresponding to one certainty:

<certainty_id> <certainty_name>
-------------------------------------------------------------------


------- MTurk image attribute labels (attributes/image_attribute_labels.txt) ------
The set of attribute labels as perceived by MTurkers for each image is contained in the file attributes/image_attribute_labels.txt, with each line corresponding to one image/attribute/worker triplet:

<image_id> <attribute_id> <is_present> <certainty_id> <time>

where <image_id>, <attribute_id>, <certainty_id> correspond to the IDs in images.txt, attributes/attributes.txt, and attributes/certainties.txt respectively.  <is_present> is 0 or 1 (1 denotes that the attribute is present).  <time> denotes the time spent by the MTurker in seconds.
-----------------------------------------------------------------------------------


------- Class attribute labels (attributes/class_attribute_labels_continuous.txt) ------
Attributes on a per-class level--in a similar format to the Animals With Attributes dataset--are contained in attributes/class_attribute_labels_continuous.txt.  The file contains 200 lines and 312 space-separated columns.  Each line corresponds to one class (in the same order as classes.txt) and each column contains one real-valued number corresponding to one attribute (in the same order as attributes.txt).  The number is the percentage of the time (between 0 and 100) that a human thinks that the attribute is present for a given class
----------------------------------------------------------------------------------------