| --- |
| license: cc-by-4.0 |
| --- |
| |
| # Palleset - A Synthetic Generated Dataset for Pallet Detection |
|
|
| This dataset contains images and ground truth labels generated using Nvidia IsaacSim. \ |
| The images are taken from a custom created indoor warehouse scenario in which different types of pallets as well as objects and humans are visibile. |
| The dataset currently contains 3000 image (2400 training, 600 validation). |
|
|
| Different types of annotations are available (beyond the standard RGB images): |
| - Depth |
| - Semantic Segmentation |
| - 2D Bounding Boxes |
| - 3D Bounding Boxes |
|
|
| Dataset classes: |
| - pallet |
|
|
| Generated using Nvidia IsaacSim version 4.1.0. |
|
|
| ## Future improvements |
| As per now, the only labelled class in the dataset is "pallet" but we are currently planning to release a new version with more classes, like "human", "vehicle" and so on. |
