Abdulkerim

jdsakjkasd

Object Detection

jdsakjkasd Image Dataset

v2

2024-03-17 2:59pm

Generated on Mar 17, 2024

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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.
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Dataset Split

Train Set 92%
23913Images
Valid Set 8%
1992Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 8% of images
Hue: Between -15° and +15°
Saturation: Between -11% and +11%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.18% of pixels