Dataset Versions

Versions
2022-11-11 6:16pm
v25
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2 years ago
2022-11-11 4:36pm
v24
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2 years ago
2022-11-06 4:22pm
v23
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2 years ago
2022-11-02 11:00am
v22
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2 years ago
2022-11-02 10:39am
v21
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2 years ago
2022-10-28 5:59pm
v20
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2 years ago
2022-10-28 5:57pm
v19
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2 years ago
2022-10-28 5:56pm
v18
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2 years ago
2022-10-28 5:46pm
v17
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2 years ago
2022-10-28 4:37pm
v16
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2 years ago
2022-10-28 4:34pm
v15
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2 years ago
2022-10-28 4:32pm
v14
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2 years ago
2022-10-28 4:29pm
v13
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2 years ago
2022-10-28 4:27pm
v12
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2 years ago
2022-10-28 4:25pm
v11
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2 years ago
2022-10-28 4:22pm
v10
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2 years ago
2022-10-28 3:33pm
v9
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2 years ago
2022-10-28 11:10am
v8
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2 years ago
2022-10-28 11:09am
v7
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2 years ago
2022-10-28 11:03am
v6
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2 years ago
2022-10-28 10:05am
v5
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2 years ago
2022-10-27 7:25pm
v4
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2 years ago
2022-10-27 7:22pm
v3
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2 years ago
2022-10-27 7:16pm
v2
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2 years ago
2022-10-26 4:03pm
v1
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2 years ago
v14

2022-10-28 4:32pm

Generated on Oct 28, 2022
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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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1386 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%
1269Images
Valid Set 8%
117Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 1
Blur: Up to 1px

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