CUBEV3 Image Dataset
Versions
2023-03-08 10:19pm
v10
Mar 8, 2023
2023-03-07 1:06pm
v9
Mar 7, 2023
2023-03-07 1:04pm
v8
Mar 7, 2023
2023-03-06 4:26pm
v7
Mar 6, 2023
2023-03-06 4:25pm
v6
Mar 6, 2023
2023-03-06 2:39pm
v5
Mar 6, 2023
2023-03-06 2:37pm
v4
Mar 6, 2023
2023-03-06 1:14pm
v3
Mar 6, 2023
2023-03-06 12:53pm
v2
Mar 6, 2023
2023-03-06 12:39pm
v1
Mar 6, 2023
v10
2023-03-08 10:19pm
Generated on Mar 8, 2023
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
Choose another format.
2032 Total Images
View All ImagesDataset Split
Train Set 87%
1764Images
Valid Set 8%
170Images
Test Set 5%
98Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -14% and +14%
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