Dataset Versions

Try Pre-Trained Model
Versions
2024-07-31 1:43pm
v12
·
5 months ago
2024-07-19 6:11pm
v11
·
5 months ago
2024-07-19 6:01pm
v10
·
5 months ago
2024-07-19 9:53am
v9
·
5 months ago
2024-07-19 9:51am
v8
·
5 months ago
2024-07-19 9:32am
v7
·
5 months ago
2024-07-17 4:07am
v6
·
5 months ago
2024-07-16 4:42am
v5
·
5 months ago
2024-07-03 6:28am
v4
·
6 months ago
2024-06-21 12:24pm
v3
·
6 months ago
2024-06-17 1:42am
v2
·
6 months ago
2024-06-12 9:49pm
v1
·
6 months ago
v8

2024-07-19 9:51am

Generated on Jul 19, 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.

2002 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%
1754Images
Valid Set 5%
110Images
Test Set 7%
138Images

Preprocessing

Auto-Orient: Applied
Static Crop: 16-75% Horizontal Region, 10-82% Vertical Region
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Bounding Box: Brightness: Between 0% and +15%
Bounding Box: Exposure: Between -10% and +10%

Similar Projects

See More