Dataset Versions

Try Pre-Trained Model
Versions
2023-03-18 6:11pm
v13
·
2 years ago
2023-03-18 6:06pm
v12
·
2 years ago
2023-03-01 4:09am
v11
·
2 years ago
2023-02-28 7:11am
v10
·
2 years ago
2023-02-28 12:52am
v9
·
2 years ago
2023-02-28 12:48am
v8
·
2 years ago
2023-02-26 9:54pm
v7
·
2 years ago
2023-02-23 4:20pm
v6
·
2 years ago
2023-02-23 4:17pm
v5
·
2 years ago
2023-02-23 3:14am
v4
·
2 years ago
2023-02-23 2:45am
v3
·
2 years ago
2023-02-23 2:38am
v2
·
2 years ago
2023-02-23 2:28am
v1
·
2 years ago
v10

2023-02-28 7:11am

Generated on Feb 28, 2023
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.

1530 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 90%
1377Images
Valid Set 7%
110Images
Test Set 3%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Upside Down
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -39° and +39°
Shear: ±17° Horizontal, ±9° Vertical
Grayscale: Apply to 92% of images
Hue: Between -157° and +157°
Saturation: Between -49% and +49%
Brightness: Between -48% and +48%
Exposure: Between -27% and +27%
Blur: Up to 0.75px
Noise: Up to 11% of pixels
Cutout: 23 boxes with 6% size each
Bounding Box: Flip: Applied
Bounding Box: Brightness: Between -23% and +23%

Similar Projects

See More