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Butts

Object Detection

Butts Image Dataset

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Versions
2022-04-05 4:10pm
v10
Apr 5, 2022
2022-04-05 4:06pm
v9
Apr 5, 2022
2022-04-03 5:40am
v5
Apr 3, 2022
5 tiles 83- not null
v3
Apr 2, 2022
v9

2022-04-05 4:06pm

Generated on Apr 5, 2022
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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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363 Total Images

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Dataset Split

Train Set 80%
290Images
Valid Set 13%
46Images
Test Set 7%
27Images

Preprocessing

Isolate Objects: Applied
Tile: 7 rows x 7 columns
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -34% and +34%