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Object Detection

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Versions
2024-05-15 2:00pm
v16
May 15, 2024
2024-05-15 1:59pm
v15
May 15, 2024
2024-05-15 1:57pm
v14
May 15, 2024
2024-05-15 1:56pm
v13
May 15, 2024
2024-05-15 1:54pm
v12
May 15, 2024
2024-05-15 1:53pm
v11
May 15, 2024
2024-05-15 1:52pm
v10
May 15, 2024
2024-05-14 11:49am
v9
May 14, 2024
2024-05-13 6:33pm
v8
May 14, 2024
2024-05-13 6:07pm
v7
May 14, 2024
2024-05-13 5:03pm
v6
May 14, 2024
2024-05-11 4:44pm
v5
May 11, 2024
2024-05-11 4:43pm
v4
May 11, 2024
2024-05-11 4:43pm
v3
May 11, 2024
2024-05-11 4:43pm
v2
May 11, 2024
2024-05-11 4:43pm
v1
May 11, 2024
v10

2024-05-15 1:52pm

Generated on May 15, 2024
Download Dataset

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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132 Total Images

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Dataset Split

Train Set 89%
117Images
Valid Set %
0Images
Test Set 11%
15Images

Preprocessing

Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Shear: ±12° Horizontal, ±13° Vertical
Noise: Up to 1.83% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 1.7% of pixels