koreatech

Edit Project

final project

Object Detection

final project Image Dataset

Versions
2023-06-11 7:40pm
v11
·
a year ago
2023-06-11 9:55am
v10
·
a year ago
2023-06-11 9:50am
v9
·
a year ago
2023-06-11 9:48am
v8
·
a year ago
2023-06-11 9:48am
v7
·
a year ago
2023-06-11 9:48am
v6
·
a year ago
2023-06-11 9:48am
v5
·
a year ago
2023-06-11 9:48am
v4
·
a year ago
2023-06-11 9:48am
v3
·
a year ago
2023-06-11 9:48am
v2
·
a year ago
2023-06-11 9:46am
v1
·
a year ago
v6

2023-06-11 9:48am

Generated on Jun 11, 2023
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.

348 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%
300Images
Valid Set 8%
28Images
Test Set 6%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 5% of pixels