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json_files.zip (1.66 MB)
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depth_images.zip (28.15 MB)
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rgb_images.zip (930.5 MB)
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point_clouds_001.zip (1.46 GB)
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point_clouds_002.zip (1.46 GB)
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point_clouds_003.zip (1.46 GB)
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point_clouds_004.zip (1.46 GB)
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Monash-Coles Grasping Dataset
Version 4 2022-09-04, 23:39
Version 3 2022-07-04, 11:06
Version 2 2022-07-03, 09:03
Version 1 2022-07-01, 04:54
dataset
posted on 2022-09-04, 23:39 authored by Lachlan ChumbleyLachlan ChumbleyWelcome to the Coles Supermarket Object Dataset
The dataset consists of 3D water-tight mesh models of 50 supermarket objects.
The dataset was created to assist in the development of data-driven robotic grasping approaches.
The objects were picked from 10 different categories:
- Small Box (Food)
- Large Box (Food)
- Regular Cylinder (Food)
- Irregular Cylinder (Food)
- Small Box
- Large Box
- Regular Cylinder
- Irregular Cylinder
- Packet
- Irregular Shapes
The models are 3D watertight meshes and are stored as .ply files.
This datset was developed by Monash University in conjunction with Coles Supermarkets.
