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Currency-2

Object Detection

Currency-2 Image Dataset

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Versions
2023-04-21 11:28pm
v18
Apr 21, 2023
RAW
v17
Apr 6, 2023
2022-09-16 2:27pm
v16
Sep 16, 2022
2022-09-04 11:41am
v13
Sep 4, 2022
2022-08-29 7:05am
v12
Aug 29, 2022
BanknoteRecognition
v11
Aug 28, 2022
2022-08-29 3:50am
v10
Aug 28, 2022
2022-08-21 10:05pm
v9
Aug 21, 2022
2022-08-21 7:27pm
v8
Aug 21, 2022
2022-08-21 7:41am
v7
Aug 21, 2022
Coins and Banknotes
v6
Aug 14, 2022
2022-08-14 7:26am
v5
Aug 14, 2022
2022-08-14 5:59am
v4
Aug 14, 2022
2022-08-14 5:47am
v3
Aug 14, 2022
2022-08-13 3:42am
v2
Aug 12, 2022
2022-08-13 3:13am
v1
Aug 12, 2022
v18

2023-04-21 11:28pm

Generated on Apr 21, 2023
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2294 Total Images

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Dataset Split

Train Set 84%
1923Images
Valid Set 12%
266Images
Test Set 5%
105Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 18 remapped, 7 dropped
Filter Null: Require at least 14% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -14% and +14%
Exposure: Between -12% and +12%
Blur: Up to 1.75px