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2023

Object Detection

2023 Image Dataset

Versions
2023-07-25 3:43pm
v25
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a year ago
2023-07-25 3:38pm
v23
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a year ago
2023-07-25 2:54pm
v22
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a year ago
2023-07-25 2:19pm
v21
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a year ago
2023-07-25 1:58pm
v20
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a year ago
2023-07-25 1:29pm
v19
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a year ago
2023-07-25 1:18pm
v18
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a year ago
2023-07-24 10:11pm
v17
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a year ago
2023-07-24 8:39am
v16
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a year ago
2023-07-24 2:27am
v15
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a year ago
2023-07-24 2:16am
v14
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a year ago
2023-07-24 1:47am
v13
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a year ago
2023-07-24 1:37am
v12
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a year ago
2023-07-24 1:34am
v11
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a year ago
2023-07-22 1:14pm
v10
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a year ago
2023-07-22 1:07pm
v9
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a year ago
2023-07-22 12:30pm
v8
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a year ago
2023-07-22 12:14pm
v7
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a year ago
2023-07-22 12:10pm
v6
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a year ago
2023-07-22 12:06pm
v5
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a year ago
2023-07-22 11:55am
v4
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a year ago
v16

2023-07-24 8:39am

Generated on Jul 24, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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3434 Total Images

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Dataset Split

Train Set 83%
2860Images
Valid Set 17%
574Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise