Dataset Versions
Versions
2022-08-08 11:32am
v10
· 2 years ago
base_after_reannotation
v9
· 2 years ago
2022-07-27 7:51am
v7
· 2 years ago
2022-07-27 7:46am
v6
· 2 years ago
2022-07-26 11:46pm
v5
· 2 years ago
NonAugmentedDabra
v4
· 2 years ago
aug_in_yolo
v3
· 3 years ago
Tr11_Outdoor_Healthy
v2
· 3 years ago
V1
v1
· 3 years ago
v2
Tr11_Outdoor_Healthy
Generated on Jun 14, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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1689 Total Images
View All Images
Dataset Split
Train Set 94%
1591Images
Valid Set 4%
65Images
Test Set 2%
33Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down