Download The MVTec D2S Dataset

For ease-of-use, the data is provided in the same format as the well-known COCO dataset (http://cocodataset.org).

D2S:

• Images: The ‘images’-folder contains all images, including the artificially augmented ones as described in the paper. Download Images (6.0 GB)
• Annotations: Contains the annotations for different training and validation splits. Download Annotations (40 MB)

D2S Amodal:

• Images: The ‘images’-folder contains all images including the artificially augmented ones as described in the paper. Download Images (4.2 GB)
• Amodal Annotations. Download Amodal Annotations (15.3 MB)

Attribution

If you use the D2S dataset in scientific work, please cite:

Patrick Follmann, Tobias Böttger, Philipp Härtinger, Rebecca König, Markus Ulrich: MVTec D2S: Densely Segmented Supermarket Dataset; in: European Conference on Computer Vision (ECCV), 569-585, 2018. Download the paper

If you use the D2S Amodal dataset in scientific work, please cite:

Patrick Follmann, Rebecca König, Philipp Härtinger, and Michael Klostermann. Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation; in: 2019 IEEE Winter Conference on Applications in Computer Vision (WACV 2019), January 2019. Download the paper