Dataset Versions

Versions
2024-05-06 6:42pm
v73
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8 months ago
2024-05-06 1:06am
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2024-05-06 1:02am
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2024-04-29 11:41pm
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2024-04-22 11:43pm
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2024-04-22 11:41pm
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2024-04-14 10:09pm
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2024-04-13 5:07pm
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2024-04-13 5:07pm
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2024-01-13 6:51pm
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2024-01-13 6:45pm
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2024-01-11 9:04pm
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2023-12-07 12:53am
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v30
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2023-11-28 11:44pm
v29
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2023-11-28 11-41p-BACKUP V2
v28
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2023-11-26 11-50pm-BACKUP
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2023-11-26 5:49pm
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2023-07-29 12:36pm
v2
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2023-07-26 5:25pm
v1
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a year ago
v18

2023-11-25 5:08pm

Generated on Nov 26, 2023

Popular Download Formats

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.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
345Images
Valid Set 8%
33Images
Test Set 3%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -17% and +17%
Blur: Up to 1.5px
Bounding Box: Noise: Up to 4% of pixels