metadata
license: cc-by-4.0
dataset_info:
features:
- name: id
dtype: int64
- name: image
dtype: image
- name: objects
list:
- name: bb
sequence: float64
- name: label
dtype: string
splits:
- name: train
num_bytes: 2216186843.984
num_examples: 20276
download_size: 2202918677
dataset_size: 2216186843.984
Kodytek P, Bodzas A and Bilik P. A large-scale image dataset of wood surface defects for automated vision-based quality control processes [version 2; peer review: 2 approved]. F1000Research 2022, 10:581 (https://doi.org/10.12688/f1000research.52903.2)
Bounding boxes only, semantic maps
All images are 2800 x 1024 pixels (width x height)
Images compressed using
PIL.Image.Image.save(
format="JPEG",
optimize=True,
quality=50,
)
Bounding boxes converted to YOLO format.
TODO: loader script, preview, semantic maps