Учебные траблы

Object Detection

Учебные траблы Image Dataset

v5

2024-03-03 8:54pm

Generated on Mar 3, 2024

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.

Dataset Split

Train Set 74%
651Images
Valid Set 16%
139Images
Test Set 10%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 1.4px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Tonfa-Faca-Cassetete-Espada-Canivete-Soco-Ingles-Machado-Estilete-Metralhadora-Pistola-Revolver-Carabina-Espingarda
660 images
vqa
dc
35 images