metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: shape_type
dtype:
class_label:
names:
'0': 0
'1': 1
'2': 2
'3': 3
'4': 4
- name: shape_name
dtype:
class_label:
names:
'0': circle
'1': rectangle
'2': hexagon
'3': star
'4': triangle
- name: pos_x
dtype: float32
- name: pos_y
dtype: float32
- name: size
dtype: float32
- name: color
dtype: float32
- name: rotation
dtype: float32
- name: id
dtype: int32
splits:
- name: train
num_bytes: 953573
num_examples: 5000
- name: validation
num_bytes: 191415
num_examples: 1000
- name: test
num_bytes: 190454
num_examples: 1000
download_size: 924092
dataset_size: 1335442
Parametric Shapes Dataset
This is a synthetic dataset of images containing geometric shapes with controllable parameters generated for educational purposes at the University of Toronto.
This dataset contains 7000 synthetic images (32x32) of geometric shapes including circles, rectangles, hexagons, stars, and triangles. Each image is generated with random parameters such as position, size, color, and rotation.
Dataset Splits
Train: 5,000 images (1,000 per shape) Validation: 1,000 images (200 per shape) Test: 1,000 images (200 per shape)
All splits are non-overlapping and generated with different random seeds.
Parameters
Each image is parameterized by 6 independent factors:
| Factor | Type | Range | Description |
|---|---|---|---|
shape_type |
Categorical | 0-4 | Shape class (0=circle, 1=rectangle, 2=hexagon, 3=star, 4=triangle) |
pos_x |
Continuous | 0.2-0.8 | Horizontal position of shape center (normalized) |
pos_y |
Continuous | 0.2-0.8 | Vertical position of shape center (normalized) |
size |
Continuous | 0.1-0.35 | Size of shape relative to image (radius/width) |
color |
Continuous | 0-1 | Hue value (converted to RGB with high saturation) |
rotation |
Continuous | 0-2π | Rotation angle in radians (no effect on circles) |
License
This dataset is released under the MIT License. Feel free to use it for educational and research purposes.