Dataset Versions

Try Pre-Trained Model
Versions
2025-01-03 11:32am
v16
·
6 days ago
2025-01-02 5:29pm
v15
·
6 days ago
2025-01-02 5:10pm
v14
·
6 days ago
2025-01-02 4:37pm
v13
·
6 days ago
2025-01-02 3:57pm
v12
·
6 days ago
2025-01-02 3:24pm
v11
·
6 days ago
2025-01-02 12:09pm
v10
·
6 days ago
2025-01-02 11:45am
v9
·
7 days ago
2024-12-31 10:57am
v8
·
9 days ago
2024-12-27 4:45pm
v7
·
12 days ago
2024-12-27 4:17pm
v6
·
12 days ago
2024-12-27 3:41pm
v5
·
12 days ago
v5

2024-12-27 3:41pm

Generated on Dec 27, 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.

35 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 51%
18Images
Valid Set 17%
6Images
Test Set 31%
11Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 27-67% Horizontal Region, 31-64% Vertical Region
Dynamic Crop: Class: pink
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 5px
Noise: Up to 0.5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

Similar Projects

See More