Fitting

FittingV1

Object Detection

FittingV1 Image Dataset

v1

2024-03-08 3:24pm

Generated on Mar 8, 2024

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 88%
2571Images
Valid Set 8%
242Images
Test Set 4%
113Images

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, 7% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Blur: Up to 2.5px
11.Good
36 images
16.Good
35 images
9.LOP
30 images
8.EP
30 images
8.Good
30 images