Capstone2022

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Plywood+Veneer

Object Detection

Plywood+Veneer Image Dataset

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Versions
2023-02-01 8:05pm
v43
Feb 2, 2023
2023-02-01 8:03pm
v42
Feb 2, 2023
2023-02-01 8:02pm
v41
Feb 2, 2023
2023-01-24 8:09am
v40
Jan 24, 2023
2023-01-24 8:05am
v39
Jan 24, 2023
2023-01-23 2:13pm
v38
Jan 23, 2023
2023-01-23 2:04pm
v37
Jan 23, 2023
2023-01-20 10:53am
v35
Jan 20, 2023
2023-01-19 4:41pm
v34
Jan 20, 2023
Normal dataset
v33
Jan 18, 2023
knots-partials
v32
Jan 18, 2023
Just knots
v31
Jan 18, 2023
2023-01-17 11:14am
v30
Jan 17, 2023
2023-01-17 11:01am
v29
Jan 17, 2023
2023-01-16 11:29pm
v28
Jan 17, 2023
2023-01-16 11:22pm
v27
Jan 17, 2023
2023-01-16 10:49pm
v26
Jan 17, 2023
tiled set
v24
Jan 16, 2023
2023-01-15 10:43am
v22
Jan 15, 2023
2023-01-12 1:31pm
v18
Jan 12, 2023
2023-01-12 12:44pm
v15
Jan 12, 2023
2023-01-10 2:17pm
v14
Jan 10, 2023
v37

2023-01-23 2:04pm

Generated on Jan 23, 2023
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300 Total Images

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Dataset Split

Train Set 92%
276Images
Valid Set 3%
9Images
Test Set 5%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x1536
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -12° and +12°
Exposure: Between -30% and +30%