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2024-11-13 12:07pm
v29
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15 days ago
2024-11-13 10:41am
v28
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15 days ago
2024-11-13 10:16am
v27
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15 days ago
2024-11-10 7:34am
v26
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18 days ago
2024-11-07 1:11pm
v25
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21 days ago
2024-10-10 7:59am
v24
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2 months ago
2024-10-07 8:36am
v23
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2 months ago
2023-08-03 3:03pm
v22
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a year ago
2023-08-03 12:36pm
v21
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a year ago
2023-08-01 3:09pm
v20
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a year ago
2023-08-01 2:46pm
v19
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a year ago
2023-08-01 2:05pm
v18
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a year ago
2023-08-01 1:01pm
v17
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a year ago
2023-08-01 12:19pm
v16
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a year ago
2023-07-30 2:10pm
v15
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a year ago
2023-07-30 12:54pm
v14
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a year ago
2023-07-30 12:35pm
v13
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a year ago
2023-07-30 11:48am
v12
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a year ago
2023-02-27 1:51pm
v11
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2 years ago
2023-02-27 1:22pm
v10
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2 years ago
2023-02-27 10:08am
v6
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2 years ago
2023-02-27 8:50am
v5
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2 years ago
2023-02-23 2:55pm
v4
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2 years ago
2023-02-23 2:51pm
v3
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2 years ago
2023-02-23 2:24pm
v2
·
2 years ago
2023-02-23 2:22pm
v1
·
2 years ago
v2

2023-02-23 2:24pm

Generated on Feb 23, 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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292 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 86%
252Images
Valid Set 8%
24Images
Test Set 5%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 1.5px

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