Dataset Versions

Versions
2022-06-23 4:30pm filt_null
v75
·
2 years ago
2022-06-23 4:18pm
v74
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2 years ago
2022-05-14 10:50am resize144 gray
v73
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3 years ago
2022-05-14 10:49am resize144 color
v72
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3 years ago
2022-05-14 10:49am resize108 gray
v71
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3 years ago
2022-05-14 10:48am resize108 color
v70
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3 years ago
2022-05-14 10:47am resize72 gray
v69
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3 years ago
2022-05-14 10:45am resize72 color
v68
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3 years ago
2022-05-13 11:44am noaug_fullsize
v66
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3 years ago
2022-05-10 11:58am 3990re
v65
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3 years ago
2022-03-22 12:19pm
v28
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3 years ago
2022-03-21 5:08pm
v27
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3 years ago
2022-03-21 1:26pm resize108
v26
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3 years ago
2022-03-15 12:35pm no gray 108
v25
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3 years ago
2022-03-15 12:31pm _gray 108
v24
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3 years ago
2022-03-11 10:19am equal
v23
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3 years ago
2022-03-11 9:31am
v22
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3 years ago
2022-03-11 9:28am
v21
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3 years ago
2022-03-11 9:27am
v20
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3 years ago
2022-03-11 9:09am gray_resize108
v19
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3 years ago
2022-03-11 8:20am gray_resize144
v18
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3 years ago
2022-03-11 8:17am
v17
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3 years ago
2022-03-11 8:15am gray _resize108
v16
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3 years ago
2022-03-11 8:13am gray_resize108
v15
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3 years ago
2022-03-10 10:29pm no gray_resize108
v14
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3 years ago
2022-03-10 9:34pm gray_resize108
v13
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3 years ago
2022-03-10 8:59pm gray_resize72
v11
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3 years ago
2022-03-10 8:48pm gray_resize144
v10
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3 years ago
2022-03-10 8:27pm resize144
v9
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3 years ago
2022-03-10 6:16pm add gray
v8
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3 years ago
2022-03-10 6:14pm no augment
v7
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3 years ago
2022-02-22 6:16pm box_filp
v6
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3 years ago
2022-02-22 5:45pm construct
v5
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3 years ago
2022-02-22 5:11pm only greey
v4
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3 years ago
2022-01-14 8:12am
v3
·
3 years ago
2022-01-13 6:04pm
v2
·
3 years ago
2022-01-13 5:37pm
v1
·
3 years ago
v1

2022-01-13 5:37pm

Generated on Jan 13, 2022

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 87%
489Images
Valid Set 8%
47Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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