Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Size:
10K - 100K
Tags:
ball-screw
surface-defect
defect-classification
industrial-inspection
quality-control
manufacturing
DOI:
License:
KIT_BallScrew_Defects-corrected: 21835 images / 3-class classification (pitting, contaminated, normal). Converted to folder-based classification, remapped the non-contiguous labels 3/6/8 -> 0/1/2, added a seeded 70/15/15 stratified split, normalised filenames containing parentheses. CC BY-SA 4.0 (upstream licence).
739365c Download data.yaml from KeenForgeAI/KIT_BallScrew_Defects-corrected: direct link, hf CLI and curl.
- Browser
- Download file 316 Bytes
-
https://huggingface.co/datasets/KeenForgeAI/KIT_BallScrew_Defects-corrected/resolve/main/data.yaml
- Command line
-
hf download hf://datasets/KeenForgeAI/KIT_BallScrew_Defects-corrected/data.yaml
-
curl -L -o data.yaml https://huggingface.co/datasets/KeenForgeAI/KIT_BallScrew_Defects-corrected/resolve/main/data.yaml
316 Bytes
| # Ultralytics YOLO classification dataset (KIT_BallScrew_Defects-corrected) | |
| # Folder-based labels: images/<split>/<class>/ | |
| # Cleaned and standardized by KeenForge (https://github.com/KeenForgeAI) | |
| path: . | |
| train: images/train | |
| val: images/val | |
| test: images/test | |
| nc: 3 | |
| names: | |
| 0: pitting | |
| 1: contaminated | |
| 2: normal | |