Dataset Versions

Versions
2024-12-02 11:38am
v55
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23 days ago
2024-11-20 10:34am
v54
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a month ago
2024-11-20 10:33am
v53
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a month ago
2024-11-19 2:51pm
v52
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a month ago
2024-11-18 5:12pm
v51
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a month ago
2024-11-13 1:45pm
v50
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a month ago
2024-11-12 12:48pm
v49
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a month ago
2024-11-12 6:35am
v48
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a month ago
2024-11-12 6:11am
v47
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a month ago
2024-11-11 6:24am
v46
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a month ago
2024-11-08 11:24am
v45
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2 months ago
2024-11-08 7:57am
v43
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2 months ago
2024-11-08 6:55am
v42
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2 months ago
2024-11-07 6:33am
v41
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2 months ago
2024-11-06 2:17pm
v40
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2 months ago
2024-11-06 1:09pm
v39
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2 months ago
2024-11-06 10:17am
v38
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2 months ago
2024-11-05 12:47pm
v37
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2 months ago
2024-11-05 10:29am
v36
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2 months ago
2024-11-05 6:33am
v35
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2 months ago
2024-11-04 10:12am
v34
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2 months ago
2024-11-01 12:37pm
v33
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2 months ago
2024-11-01 7:46am
v32
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2 months ago
2024-11-01 7:04am
v31
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2 months ago
2024-10-31 10:23am
v30
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2 months ago
2024-10-31 6:21am
v29
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2 months ago
2024-10-30 7:05am
v28
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2 months ago
2024-10-29 12:46pm
v27
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2 months ago
2024-10-29 8:13am
v26
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2 months ago
2024-10-28 12:50pm
v25
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2 months ago
2024-10-28 12:03pm
v24
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2 months ago
2024-10-28 8:01am
v23
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2 months ago
2024-10-25 12:33pm
v22
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2 months ago
2024-10-25 10:35am
v21
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2 months ago
2024-10-24 10:23am
v20
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2 months ago
2024-10-23 1:45pm
v19
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2 months ago
2024-10-22 12:21pm
v18
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2 months ago
2024-10-21 10:31am
v17
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2 months ago
2024-10-21 6:26am
v16
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2 months ago
2024-10-18 8:05am
v15
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2 months ago
2024-10-17 7:15pm
v14
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2 months ago
2024-10-17 8:22am
v13
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2 months ago
v15

2024-10-18 8:05am

Generated on Oct 18, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 92%
513Images
Valid Set 5%
30Images
Test Set 3%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.8% of pixels