Dataset Versions

Try Pre-Trained Model
Versions
2024-06-07 10:54pm
v12
·
6 months ago
2024-06-07 3:13pm
v11
·
6 months ago
2024-05-28 2:53pm
v10
·
6 months ago
2024-05-28 2:28pm
v9
·
6 months ago
2024-05-28 1:20pm
v8
·
6 months ago
2024-05-28 2:30am
v7
·
6 months ago
2024-05-28 1:12am
v6
·
6 months ago
2024-05-27 4:13pm
v5
·
6 months ago
2024-05-26 11:57pm
v4
·
6 months ago
2024-05-26 11:57pm
v3
·
6 months ago
2024-05-26 11:56pm
v2
·
6 months ago
2024-05-21 9:40pm
v1
·
7 months ago
v11

2024-06-07 3:13pm

Generated on Jun 7, 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.

499 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%
438Images
Valid Set 8%
42Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -17° and +17°
Shear: ±45° Horizontal, ±21° Vertical
Hue: Between -15° and +15°
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 90% Maximum Zoom
Bounding Box: Rotation: Between -18° and +18°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 10% of pixels

Similar Projects

See More