Dataset Versions

v8

2023-09-14 12:05pm

Generated on Sep 14, 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.
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Dataset Split

Train Set 98%
22620Images
Valid Set 2%
456Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 2 remapped, 11 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -59% and +59%
Exposure: Between -25% and +25%
Noise: Up to 7% of pixels
Bounding Box: Brightness: Between -32% and +32%

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