merged_dplicate_and_new_updated_data_set_20feb

Object Detection

Dataset Versions

v1

2024-02-20 12:44pm

Generated on Feb 20, 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 92%
4830Images
Valid Set 8%
402Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -34% and +34%
Brightness: Between -26% and +26%
Exposure: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 3.63% of pixels