luggages_detection Dataset
Versions
v1
luggage_detection
Generated on Feb 14, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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
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1200 Total Images
View All Images
Dataset Split
Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x416
Modify Classes: 3 remapped, 70 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -19° and +19°
Saturation: Between -37% and +37%
Brightness: Between -33% and +33%
Exposure: Between -18% and +18%
Blur: Up to 2px
Noise: Up to 6% of pixels
Cutout: 8 boxes with 15% size each