Dataset Versions

Versions
2024-06-10 10:02am
v56
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5 months ago
2024-06-10 9:55am
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2024-06-04 11:31am
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2024-05-31 11:40am
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2024-05-29 8:01am
v2
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2024-05-29 8:01am
v1
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6 months ago
v13

2024-06-04 10:18am

Generated on Jun 4, 2024

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 100%
525Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Dynamic Crop: Class: class5

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -3° and +3°
Brightness: Between -22% and +22%
Blur: Up to 0.8px
Noise: Up to 1.69% of pixels