Jeddah University

Visual P

Object Detection

Visual P Image Dataset

v1

2023-10-09 5:33pm

Generated on Oct 9, 2023

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.
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Dataset Split

Train Set 88%
16437Images
Valid Set 8%
1555Images
Test Set 4%
777Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 1.5px
Mosaic: Applied
Visual-pollution
7865 images
-UNKEPT_FACADE-GRAFFITI-BROKEN_SIGNAGE-CONSTRUCTION_ROAD-CLUTTER_SIDEWALK-POTHOLES-SAND_ON_ROAD-BAD_BILLBOARD-GARBAGE-FADED_SIGNAGE-BAD_STREETLIGHT-
7865 images
SP2
Visual-pollution-types
7946 images
visual-distortion 2
9955 images