Dataset Versions

Try Pre-Trained Model
Versions
2024-05-19 12:08pm
v16
·
6 months ago
2024-05-19 12:03pm
v15
·
6 months ago
2024-05-18 11:05pm
v14
·
6 months ago
2024-05-14 9:47pm
v11
·
6 months ago
2024-05-14 7:11pm
v10
·
6 months ago
2024-05-14 7:04pm
v9
·
6 months ago
2024-05-09 1:39pm
v8
·
6 months ago
2024-05-08 11:40pm
v7
·
6 months ago
2024-05-08 11:30pm
v6
·
6 months ago
2024-05-08 7:50pm
v5
·
6 months ago
2024-04-29 5:17pm
v4
·
6 months ago
2024-04-28 6:54pm
v3
·
6 months ago
2024-04-28 12:26am
v2
·
7 months ago
2024-04-27 11:48pm
v1
·
7 months ago
v16

2024-05-19 12:08pm

Generated on May 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.

6740 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 85%
5760Images
Valid Set 9%
580Images
Test Set 6%
400Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

Similar Projects

See More