Harvard

rsc_test2

Object Detection

rsc_test2 Image Dataset

v4

2023-09-20 8:08am

Generated on Sep 20, 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 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -99% and +99%
Brightness: Between -25% and +25%
Exposure: Between -35% and +35%
Blur: Up to 6.25px
Noise: Up to 5% of pixels
Mosaic: Applied