Dataset Versions
Versions
Cardboard_DefaultV
v17
· 5 months ago
Cardboard_D200_801010
v16
· 5 months ago
Cardboard_D200
v14
· 5 months ago
2024-06-20 9:27am
v13
· 5 months ago
2024-06-20 8:40am
v11
· 5 months ago
2024-06-20 7:34am
v10
· 5 months ago
2024-06-20 7:16am
v8
· 5 months ago
2024-06-20 3:42am
v5
· 5 months ago
2024-06-18 3:21am
v3
· 5 months ago
v5
2024-06-20 3:42am
Generated on Jun 20, 2024
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
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1688 Total Images
View All ImagesDataset Split
Train Set 87%
1476Images
Valid Set 8%
140Images
Test Set 4%
72Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels