| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: label |
| dtype: int64 |
| splits: |
| - name: candle.train |
| num_bytes: 106451773.0 |
| num_examples: 900 |
| - name: candle.test |
| num_bytes: 23359449.0 |
| num_examples: 200 |
| - name: capsules.train |
| num_bytes: 133021141.0 |
| num_examples: 542 |
| - name: capsules.test |
| num_bytes: 39865980.0 |
| num_examples: 160 |
| - name: cashew.train |
| num_bytes: 135528457.0 |
| num_examples: 450 |
| - name: cashew.test |
| num_bytes: 48713873.0 |
| num_examples: 150 |
| - name: chewinggum.train |
| num_bytes: 63491934.0 |
| num_examples: 453 |
| - name: chewinggum.test |
| num_bytes: 21472874.0 |
| num_examples: 150 |
| - name: fryum.train |
| num_bytes: 63780392.0 |
| num_examples: 450 |
| - name: fryum.test |
| num_bytes: 21646212.0 |
| num_examples: 150 |
| - name: macaroni1.train |
| num_bytes: 105415318.0 |
| num_examples: 900 |
| - name: macaroni1.test |
| num_bytes: 24090768.0 |
| num_examples: 200 |
| - name: macaroni2.train |
| num_bytes: 100349144.0 |
| num_examples: 900 |
| - name: macaroni2.test |
| num_bytes: 22470288.0 |
| num_examples: 200 |
| - name: pcb1.train |
| num_bytes: 244978923.0 |
| num_examples: 904 |
| - name: pcb1.test |
| num_bytes: 53521326.0 |
| num_examples: 200 |
| - name: pcb2.train |
| num_bytes: 224276308.0 |
| num_examples: 901 |
| - name: pcb2.test |
| num_bytes: 51075179.0 |
| num_examples: 200 |
| - name: pcb3.train |
| num_bytes: 127418394.0 |
| num_examples: 905 |
| - name: pcb3.test |
| num_bytes: 28467534.0 |
| num_examples: 201 |
| - name: pcb4.train |
| num_bytes: 192400641.0 |
| num_examples: 904 |
| - name: pcb4.test |
| num_bytes: 44329307.0 |
| num_examples: 201 |
| - name: pipe_fryum.train |
| num_bytes: 42230565.0 |
| num_examples: 450 |
| - name: pipe_fryum.test |
| num_bytes: 14593580.0 |
| num_examples: 150 |
| download_size: 1917906073 |
| dataset_size: 1932949360.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: candle.train |
| path: data/candle.train-* |
| - split: candle.test |
| path: data/candle.test-* |
| - split: capsules.train |
| path: data/capsules.train-* |
| - split: capsules.test |
| path: data/capsules.test-* |
| - split: cashew.train |
| path: data/cashew.train-* |
| - split: cashew.test |
| path: data/cashew.test-* |
| - split: chewinggum.train |
| path: data/chewinggum.train-* |
| - split: chewinggum.test |
| path: data/chewinggum.test-* |
| - split: fryum.train |
| path: data/fryum.train-* |
| - split: fryum.test |
| path: data/fryum.test-* |
| - split: macaroni1.train |
| path: data/macaroni1.train-* |
| - split: macaroni1.test |
| path: data/macaroni1.test-* |
| - split: macaroni2.train |
| path: data/macaroni2.train-* |
| - split: macaroni2.test |
| path: data/macaroni2.test-* |
| - split: pcb1.train |
| path: data/pcb1.train-* |
| - split: pcb1.test |
| path: data/pcb1.test-* |
| - split: pcb2.train |
| path: data/pcb2.train-* |
| - split: pcb2.test |
| path: data/pcb2.test-* |
| - split: pcb3.train |
| path: data/pcb3.train-* |
| - split: pcb3.test |
| path: data/pcb3.test-* |
| - split: pcb4.train |
| path: data/pcb4.train-* |
| - split: pcb4.test |
| path: data/pcb4.test-* |
| - split: pipe_fryum.train |
| path: data/pipe_fryum.train-* |
| - split: pipe_fryum.test |
| path: data/pipe_fryum.test-* |
| --- |
| |
|
|
| Original dataset: |
|
|
| ``` |
| @inproceedings{zou2022spot, |
| title={Spot-the-difference self-supervised pre-training for anomaly detection and segmentation}, |
| author={Zou, Yang and Jeong, Jongheon and Pemula, Latha and Zhang, Dongqing and Dabeer, Onkar}, |
| booktitle={European Conference on Computer Vision}, |
| pages={392--408}, |
| year={2022}, |
| organization={Springer} |
| } |
| ``` |
|
|
