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Object Detection

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Versions
2024-05-27 8:47am
v22
May 27, 2024
2024-05-22 11:09am
v21
May 22, 2024
2024-05-16 1:52pm
v20
May 16, 2024
2024-05-07 8:34am
v19
May 7, 2024
2024-05-06 1:37pm
v18
May 6, 2024
2024-05-06 1:37pm
v17
May 6, 2024
2024-05-06 1:37pm
v16
May 6, 2024
2024-04-24 8:57am
v15
Apr 24, 2024
2024-04-23 2:13pm
v14
Apr 23, 2024
2024-04-22 1:40pm
v13
Apr 22, 2024
2024-04-22 8:20am
v12
Apr 22, 2024
2024-04-17 11:03am
v11
Apr 17, 2024
2024-04-16 10:32am
v10
Apr 16, 2024
2024-04-10 1:31pm
v9
Apr 10, 2024
2024-04-09 3:31pm
v7
Apr 9, 2024
72by48
v6
Apr 9, 2024
2024-04-09 2:09pm
v5
Apr 9, 2024
2024-04-09 12:25pm
v4
Apr 9, 2024
2024-04-03 2:13pm
v3
Apr 3, 2024
2024-04-03 1:57pm
v1
Apr 3, 2024
v13

2024-04-22 1:40pm

Generated on Apr 22, 2024
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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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784 Total Images

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Dataset Split

Train Set 88%
690Images
Valid Set 12%
91Images
Test Set 0%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1000x1000

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 60% of images
Hue: Between -150° and +150°