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Coil

Object Detection

Coil Image Dataset

Try Pre-Trained Model
Versions
2024-02-03 2:29pm
v23
Feb 3, 2024
2024-02-03 2:05pm
v22
Feb 3, 2024
2024-01-24 2:10pm
v21
Jan 24, 2024
2023-11-16 11:04pm
v20
Nov 16, 2023
2023-11-12 6:08pm
v19
Nov 12, 2023
2023-11-02 10:31pm
v18
Nov 2, 2023
2023-10-29 8:27pm
v17
Oct 29, 2023
2023-10-29 8:22pm
v16
Oct 29, 2023
2023-10-29 8:19pm
v15
Oct 29, 2023
2023-10-28 2:50pm
v14
Oct 28, 2023
2023-10-28 1:50pm
v13
Oct 28, 2023
2023-10-27 10:55pm
v12
Oct 27, 2023
2023-10-27 10:49pm
v11
Oct 27, 2023
2023-10-23 7:53pm
v10
Oct 23, 2023
2023-10-23 7:51pm
v9
Oct 23, 2023
2023-10-23 7:46pm
v8
Oct 23, 2023
2023-10-23 6:51pm
v7
Oct 23, 2023
2023-10-23 6:41pm
v6
Oct 23, 2023
2023-10-22 11:14pm
v5
Oct 22, 2023
2023-10-22 1:54pm
v4
Oct 22, 2023
2023-10-21 11:13pm
v3
Oct 21, 2023
2023-10-21 10:54pm
v2
Oct 21, 2023
2023-10-21 10:46pm
v1
Oct 21, 2023
v23

2024-02-03 2:29pm

Generated on Feb 3, 2024
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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160 Total Images

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Dataset Split

Train Set 92%
147Images
Valid Set 8%
13Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -9° and +9°
Brightness: Between -10% and +10%