Dataset: Stanford Streaming Mobile Augmented Reality Dataset

We introduce the Stanford Streaming MAR dataset. The dataset contains 23 different objects of interest, divided to four categories: Books, CD covers, DVD covers and Common Objects. We first record one video for each object where the object is in a static position while the camera is moving. These videos are recorded with a hand-held mobile phone with different amounts of camera motion, glare, blur, zoom, rotation and perspective changes. Each video is 100 frames long, recorded at 30 fps with resolution 640 x 480. For each video, we provide a clean database image (no background noise) for the corresponding object of interest.
We also provide 5 more videos for moving objects recorded with a moving camera. These videos help to study the effect of background clutter when there is a relative motion between the object and the background. Finally, we record 4 videos that contain multiple objects from the dataset. Each video is 200 frames long and contains 3 objects of interest where the camera captures them one after the other.
We provide the ground-truth localization information for 14 videos, where we manually define a bounding quadrilateral around the object of interest in each video frame. This localization information is used in the calculation of the Jaccard index.

1. Static single object:
1.a. Books: Automata Theory, Computer Architecture, OpenCV, Wang Book.
1.b. CD Covers: Barry White, Chris Brown, Janet Jackson, Rascal Flatts, Sheryl Crow.
1.c. DVD Covers: Finding Nemo, Monsters Inc, Mummy Returns, Private Ryan, Rush Hour, Shrek, Titanic, Toy Story.
1.d. Common Objects: Bleach, Glade, Oreo, Polish, Tide, Tuna.

2. Moving object, moving camera:
Barry White Moving, Chris Brown Moving, Titanic Moving, Titanic Moving - Second, Toy Story Moving.

3. Multiple objects:
3.a. Multiple Objects 1: Polish, Wang Book, Monsters Inc.
3.b. Multiple Objects 2: OpenCV, Barry White, Titanic.
3.c. Multiple Objects 3: Monsters Inc, Toy Story, Titanic.
3.d. Multiple Objects 4: Wang Book, Barry White, OpenCV.