HexBugs

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BugBusters

Object Detection

BugBusters Image Dataset

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Versions
2023-05-28 3:33pm
v19
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a year ago
2023-05-28 3:28pm
v18
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a year ago
2023-05-28 1:55pm
v17
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a year ago
2023-05-28 1:24pm
v16
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a year ago
2023-05-28 1:15pm
v15
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a year ago
2023-05-28 1:08pm
v14
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a year ago
2023-05-28 12:13pm
v13
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a year ago
2023-05-28 12:11pm
v12
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a year ago
2023-05-28 10:32am
v11
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a year ago
2023-05-18 3:54pm
v10
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a year ago
2023-05-14 1:42pm
v8
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a year ago
2023-05-14 1:10pm
v7
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a year ago
2023-05-14 10:30am
v6
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a year ago
2023-05-10 1:25pm
v5
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a year ago
2023-04-23 12:04am
v3
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a year ago
2023-04-23 12:00am
v2
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a year ago
2023-04-22 11:25pm
v1
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a year ago
v8

2023-05-14 1:42pm

Generated on May 14, 2023
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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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3498 Total Images

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Dataset Split

Train Set 87%
3054Images
Valid Set 8%
288Images
Test Set 4%
156Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each