Published March 27, 2024 | Version v1
Image Open

Open Shelves

Contributors

Project leader:

Description

Open Shelves is an open source computer vision project to identify book spines.

The dataset for this project is hosted on Roboflow. You can also try all models that have been trained with this dataset on Roboflow.

You can use this dataset to train vision models to identify bookshelves.

This dataset was designed to improve the clickable bookshelves (source code) project. A key limitation of the project was the foundation models on which it depends, Grounding DINO and Segment Anything, require signifiant computational resources to run, particularly on large numbers of images. With Open Shelves, a fine-tuned model can be trained that is faster than the Grounding DINO and Segment Anything combination.

Files

Open Shelves.v8i.coco-segmentation.zip

Files (42.5 MB)

Name Size Download all
md5:47abf9a370ad7ba607c5bb8e771c5d03
42.5 MB Preview Download

Additional details

Software

Repository URL
https://github.com/capjamesg/open-shelves
Programming language
Python
Development Status
Active