Dataset Versions

v1

chimera_yolo_v1

Generated on Feb 7, 2022

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 100%
1632Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 336x100

Augmentations

Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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