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swimmer_for_2classes

Object Detection

swimmer_for_2classes Image Dataset

v6

2023-06-04 4:10pm

Generated on Jun 4, 2023

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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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Dataset Split

Train Set 87%
1140Images
Valid Set 8%
102Images
Test Set 5%
71Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Hue: Between -130° and +130°
Brightness: Between -70% and +70%
Noise: Up to 12% of pixels
SwimmingPeople
333 images
people
1029 images
G15
drowning-u3pm-7xQy
1600 images
head-in-water-or-head-out-waters
3625 images
G15
drowning-u3pm-Ob0G
1924 images