Dataset Versions
v13
RAMI_Object_Detection_V2
Generated on Sep 28, 2021
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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
Choose another format.
25400 Total Images
View All Images
Dataset Split
Train Set 92%
23443Images
Valid Set 8%
1957Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between 0% and +10%
Bounding Box: Exposure: Between -5% and +5%