Dataset Versions
Versions
raw-images
v14
· a year ago
700-resize
v13
· a year ago
700-resize-augmentation
v11
· a year ago
2023-06-07 6:13pm
v10
· 2 years ago
2023-06-07 1:30pm
v8
· 2 years ago
poledatav5-aug-traintestval-resize
v6
· 2 years ago
poledatav4-aug-traintestval
v5
· 2 years ago
poledatav3-640x640-aug
v4
· 2 years ago
poledatav2-640x640
v3
· 2 years ago
poledata-v1
v2
· 2 years ago
poledata
v1
· 2 years ago
v4
poledatav3-640x640-aug
Generated on Jun 3, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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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900 Total Images
View All Images
Dataset Split
Train Set 89%
800Images
Valid Set 11%
100Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise