Dataset Versions

Versions
2024-09-23 12:34pm
v47
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2 months ago
2024-09-23 7:07am
v46
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2 months ago
2024-09-20 8:40am
v45
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2 months ago
2024-09-20 8:27am
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2024-09-20 8:26am
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2 months ago
2024-09-20 7:37am
v41
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2 months ago
2024-09-20 7:15am
v40
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2 months ago
2024-09-20 7:15am
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2 months ago
2024-09-20 7:14am
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2 months ago
2024-09-20 6:53am
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2 months ago
2024-09-20 6:43am
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2 months ago
2024-09-20 6:23am
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2 months ago
2024-09-19 2:51pm
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2 months ago
2024-09-19 2:49pm
v33
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2 months ago
2024-09-19 12:34pm
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2 months ago
2024-09-19 12:33pm
v31
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2 months ago
2024-09-19 12:08pm
v30
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2 months ago
2024-09-19 11:36am
v29
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2 months ago
2024-09-19 10:09am
v28
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2 months ago
2024-09-19 9:34am
v27
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2 months ago
2024-09-19 8:37am
v26
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2 months ago
2024-09-19 7:18am
v25
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2 months ago
2024-09-19 6:29am
v24
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2 months ago
2024-09-19 6:26am
v23
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2 months ago
2024-09-19 6:22am
v22
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2 months ago
2024-09-18 2:25pm
v21
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2 months ago
2024-09-18 1:14pm
v20
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2 months ago
2024-09-18 9:46am
v19
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2 months ago
2024-09-18 9:19am
v18
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2 months ago
2024-09-18 8:58am
v17
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2 months ago
2024-09-18 7:33am
v16
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2 months ago
2024-09-18 7:30am
v15
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2 months ago
2024-09-18 7:22am
v14
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2 months ago
2024-09-18 7:21am
v13
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2 months ago
2024-09-18 6:34am
v12
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2 months ago
2024-09-13 9:40am
v11
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2 months ago
2024-09-13 8:28am
v10
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2 months ago
2024-09-12 6:35am
v9
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2 months ago
2024-09-11 12:15pm
v8
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2 months ago
2024-09-11 11:57am
v7
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2 months ago
2024-09-11 9:25am
v6
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2 months ago
2024-09-11 8:05am
v4
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2 months ago
2024-09-11 6:35am
v3
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2 months ago
2024-09-10 12:23pm
v2
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2 months ago
2024-09-10 11:54am
v1
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2 months ago
v46

2024-09-23 7:07am

Generated on Sep 23, 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 88%
843Images
Valid Set 8%
80Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -50% and +50%
Exposure: Between -30% and +30%
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -25% and +25%

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