CREM 2 Image Dataset
Versions
v2
Augmented 3x
Generated on Feb 24, 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
Choose another format.
7465 Total Images
View All Images
Dataset Split
Train Set 83%
6198Images
Valid Set 12%
874Images
Test Set 5%
393Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 256x256
Modify Classes: 3 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±30° Vertical
Blur: Up to 1px
Noise: Up to 1% of pixels
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