Dataset Versions

Versions
2023-09-01 4:16pm
v27
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a year ago
2023-09-01 4:15pm
v26
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a year ago
2023-09-01 4:15pm
v25
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a year ago
2023-09-01 4:14pm
v24
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a year ago
2023-09-01 4:13pm
v23
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a year ago
2023-09-01 4:13pm
v22
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a year ago
2023-09-01 4:10pm
v21
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a year ago
2023-08-28 3:05pm
v20
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a year ago
2023-08-28 3:05pm
v19
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a year ago
2023-08-28 2:51pm
v18
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a year ago
2023-08-28 2:50pm
v17
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a year ago
2023-08-28 2:49pm
v16
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a year ago
2023-08-28 2:48pm
v15
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a year ago
2023-08-28 2:47pm
v14
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a year ago
2023-08-28 2:45pm
v13
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a year ago
2023-08-28 2:44pm
v12
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a year ago
2023-08-28 2:43pm
v11
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a year ago
2023-08-28 2:42pm
v10
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a year ago
2023-08-28 2:42pm
v9
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a year ago
2023-08-28 2:41pm
v8
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a year ago
2023-08-28 2:40pm
v7
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a year ago
2023-08-28 2:39pm
v6
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a year ago
2023-08-28 2:39pm
v5
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a year ago
2023-08-28 2:38pm
v4
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a year ago
2023-08-28 2:36pm
v3
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a year ago
2023-08-28 2:34pm
v2
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a year ago
2023-08-28 2:32pm
v1
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a year ago
v20

2023-08-28 3:05pm

Generated on Aug 28, 2023
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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127 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 92%
117Images
Valid Set 4%
5Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Bounding Box: Brightness: Between -50% and +0%

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