test_dataaug Image Dataset
Versions
2022-02-27 9:17pm
v14
Feb 27, 2022
2022-02-27 9:16pm
v13
Feb 27, 2022
noise
v12
Feb 27, 2022
blur
v11
Feb 27, 2022
exposure
v10
Feb 27, 2022
brightness
v9
Feb 27, 2022
saturation
v8
Feb 27, 2022
hue
v7
Feb 27, 2022
grayscale
v6
Feb 27, 2022
shear
v5
Feb 27, 2022
crop
v4
Feb 27, 2022
rotate90
v3
Feb 27, 2022
2022-02-27 9:07pm
v2
Feb 27, 2022
flip
v1
Feb 27, 2022
v6
grayscale
Generated on Feb 27, 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.
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1 Total Images
View All Images
Dataset Split
Train Set 100%
1Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 1
Grayscale: Apply to 19% of images
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