CIT

Resin Application v2

Object Detection

Resin Application v2 Image Dataset

v7

2023-03-23 4:46pm

Generated on Mar 23, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 92%
960Images
Valid Set 4%
40Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
CIT
Good-Lacking-NoResin-Over
391 images
CIT
Good-Lacking-NoResin-Over
400 images
CIT
Good-Lacking-NoResin-Over
400 images
CIT
Good-Lacking-NoResin-Over
400 images
CIT
Good-Lacking-NoResin-Over
197 images