trucks_segem Dataset

Try Pre-Trained Model
Versions
2024-03-22 2:30pm
v12
·
3 months ago
2024-03-14 8:40pm
v11
·
4 months ago
2024-03-14 1:53pm
v10
·
4 months ago
2024-03-14 1:51pm
v9
·
4 months ago
2024-03-14 1:48pm
v8
·
4 months ago
2024-03-14 1:28pm
v7
·
4 months ago
2024-03-14 12:21pm
v6
·
4 months ago
2024-03-14 12:14pm
v5
·
4 months ago
2024-02-28 12:22pm
v4
·
4 months ago
2024-02-28 11:12am
v3
·
4 months ago
2024-02-27 3:04pm
v2
·
4 months ago
2024-02-27 2:54pm
v1
·
4 months ago
v4

2024-02-28 12:22pm

Generated on Feb 28, 2024
Download Dataset

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
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 86%
30Images
Valid Set 9%
3Images
Test Set 6%
2Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 2.5px