Dataset Versions
Versions
1280 resize - auto orient
v10
· 2 years ago
4 corner orient
v9
· 2 years ago
fine tune polygon with brightness
v8
· 2 years ago
only brightness augmentation
v7
· 2 years ago
No auto orient- 30 deg rotate
v6
· 2 years ago
with auto orient - 30degree rotate
v5
· 2 years ago
2023-01-22 8:05pm
v4
· 2 years ago
2023-01-22 7:34pm
v3
· 2 years ago
2023-01-22 7:18pm
v2
· 2 years ago
no augmentation
v1
· 2 years ago
v10
1280 resize - auto orient
Generated on Jan 28, 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.
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7 Total Images
View All Images
Dataset Split
Train Set 86%
6Images
Valid Set %
0Images
Test Set 14%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 3
Brightness: Between -19% and +19%