Omkar2118/datasets huggingface dataset:
Primitive Shape Abstraction

# Dataset: RGB-D Images for Real-World and Synthetic Object Scenes

This dataset consists of both real-world and synthetic RGB-D images, designed for object detection, classification, and segmentation tasks, particularly for primitive shape recognition. 

## Real-World Data

- **Objects**: 50 distinct objects captured using a Kinect camera.
- **Scenes**: The dataset includes both single objects and piles of objects stacked over each other.
- **Images**: Approximately 300 RGB-D images have been collected.
- **Data Format**: RGB images paired with corresponding depth images.

## Synthetic Data

- **Simulator**: The synthetic dataset was automatically generated using the CoppeliaSim simulator.
- **Objects**: Only primitive shapes, including cuboid, semisphere, sphere, cylinder, stick, ring, and cone.
- **Scenes**: Objects are dropped over each other to form complex scenes.
- **Images**: The dataset contains 10,000 unique RGB-D images generated by the simulator.

## Labels

Both the real-world and synthetic datasets are labeled with geometric primitive shape classes and boundaries, including:

- Cuboid
- Semisphere
- Sphere
- Cylinder
- Stick
- Ring
- Cone

This dataset is designed to support research in grasp detection, object recognition, and scene understanding using RGB-D data.