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Дефекты

Object Detection

Дефекты Image Dataset

Versions
2023-12-02 6:18pm
v36
Dec 2, 2023
2023-11-29 8:58pm
v35
Nov 29, 2023
2023-11-29 8:51pm
v34
Nov 29, 2023
2023-11-26 1:30pm
v33
Nov 26, 2023
2023-07-17 10:16pm
v32
Jul 17, 2023
2023-07-17 8:21pm
v31
Jul 17, 2023
2023-07-07 7:09pm
v30
Jul 7, 2023
2023-06-19 7:20pm
v29
Jun 19, 2023
2023-06-19 7:18pm
v28
Jun 19, 2023
2023-06-17 11:32pm
v27
Jun 17, 2023
2023-06-17 7:14pm
v26
Jun 17, 2023
2023-05-13 6:18pm
v25
May 13, 2023
2023-05-11 9:35pm
v24
May 11, 2023
2023-05-11 9:15pm
v23
May 11, 2023
2023-05-11 9:01pm
v22
May 11, 2023
2023-05-11 8:58pm
v21
May 11, 2023
2023-05-07 4:44pm
v20
May 7, 2023
2023-05-07 4:41pm
v19
May 7, 2023
2023-05-07 4:29pm
v18
May 7, 2023
2023-05-04 9:20pm
v17
May 4, 2023
v29

2023-06-19 7:20pm

Generated on Jun 19, 2023
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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503 Total Images

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Dataset Split

Train Set 96%
483Images
Valid Set 3%
15Images
Test Set 1%
5Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -31° and +31°
Shear: ±14° Horizontal, ±8° Vertical