wholelibrary

snackstacks

Object Detection

snackstacks Image Dataset

v2

2022-10-20 4:26pm

Generated on Oct 20, 2022

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 88%
21Images
Valid Set 13%
3Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -31° and +31°
Saturation: Between -25% and +25%
Exposure: Between -21% and +21%
Blur: Up to 0.75px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
potato-chips-and-beverages-multiple-bottles-orientation-snackpack-presence
176 images
bottless-pringles-cans
190 images
potato-chips-and-beverages
121 images
bottless-pringles
83 images