Dataset Versions

v3

ImaginesProceesadas-2021-10-15 2:25pm-

Generated on Oct 15, 2021

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.
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Dataset Split

Train Set 86%
1752Images
Valid Set 9%
192Images
Test Set 5%
96Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 42-59% Horizontal Region, 41-61% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%

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