Dataset Versions

Versions
2024-11-24 10:50pm
v41
·
a month ago
2024-11-21 5:20am
v40
·
a month ago
2024-11-18 3:46am
v36
·
a month ago
2024-07-31 4:26am
v28
·
5 months ago
2024-07-30 5:50pm
v26
·
5 months ago
2024-07-28 10:20pm
v25
·
5 months ago
2024-07-28 8:03pm
v24
·
5 months ago
2024-07-28 3:34pm
v23
·
5 months ago
2024-07-28 1:28pm
v22
·
5 months ago
2024-07-25 11:42am
v21
·
5 months ago
2024-07-25 8:05am
v20
·
5 months ago
2024-07-25 12:42am
v19
·
5 months ago
2024-07-24 10:47pm
v18
·
5 months ago
2024-07-24 8:48pm
v17
·
5 months ago
2024-07-24 5:32pm
v16
·
5 months ago
2024-07-24 5:12pm
v15
·
5 months ago
2024-07-24 12:46pm
v14
·
5 months ago
2024-07-23 1:03pm
v12
·
5 months ago
2024-07-16 1:25pm
v10
·
5 months ago
2024-07-15 1:06am
v9
·
5 months ago
2024-07-15 1:04am
v8
·
5 months ago
2024-07-14 3:37am
v7
·
5 months ago
2024-03-21 3:39am
v6
·
9 months ago
2024-03-21 2:56am
v5
·
9 months ago
v24

2024-07-28 8:03pm

Generated on Jul 28, 2024
Download

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.

914 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 88%
801Images
Valid Set 8%
77Images
Test Set 4%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x390

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -2° and +2°
Grayscale: Apply to 9% of images
Saturation: Between -16% and +16%
Blur: Up to 1.5px

Similar Projects

See More