Dataset Versions

Versions
2024-11-08 9:54am
v28
·
14 days ago
2023-11-13 6:13pm
v27
·
a year ago
2023-11-13 6:13pm
v26
·
a year ago
2023-11-13 6:08pm
v25
·
a year ago
2023-11-13 6:06pm
v24
·
a year ago
2023-11-13 4:28pm
v23
·
a year ago
2023-11-13 1:36pm
v22
·
a year ago
2023-11-13 1:31pm
v20
·
a year ago
2023-11-10 5:29pm
v19
·
a year ago
2023-11-10 5:08pm
v18
·
a year ago
2023-11-10 12:24pm
v17
·
a year ago
2023-11-10 12:23pm
v16
·
a year ago
2023-11-10 12:13pm
v15
·
a year ago
2023-11-10 9:32am
v12
·
a year ago
2023-11-10 9:02am
v10
·
a year ago
2023-11-09 7:17am
v9
·
a year ago
2023-11-09 7:06am
v8
·
a year ago
2023-11-09 10:47am
v7
·
a year ago
2023-11-09 10:24am
v6
·
a year ago
2023-11-08 9:55pm
v5
·
a year ago
2023-11-08 9:35pm
v4
·
a year ago
2023-11-08 9:24pm
v3
·
a year ago
2023-11-08 11:58am
v2
·
a year ago
2023-11-08 11:56am
v1
·
a year ago
v6

2023-11-09 10:24am

Generated on Nov 9, 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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483 Total Images

View All Images
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 93%
447Images
Valid Set 7%
36Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Mosaic: Applied

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