#CFPK_2023_June Dataset
Versions
2023-07-06 1:06pm
v14
· a year ago
2023-07-05 6:01pm
v13
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2023-07-05 4:56pm
v12
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2023-07-05 4:46pm
v11
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2023-07-05 4:33pm
v10
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2023-07-05 4:26pm
v9
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2023-07-05 4:18pm
v8
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2023-07-05 4:04pm
v7
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2023-07-04 2:03pm
v6
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2023-07-03 5:29pm
v5
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2023-07-03 5:08pm
v4
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Train_with_Augmentation_Jul3
v3
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Train_v1
v2
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2023-06-20 7:05pm
v1
· a year ago
v14
2023-07-06 1:06pm
Generated on Jul 6, 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.
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234 Total Images
View All Images
Dataset Split
Train Set 86%
201Images
Valid Set 13%
30Images
Test Set 1%
3Images
Preprocessing
Resize: Fit within 2048x2048
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Saturation: Between -84% and +84%