Dataset Versions
Versions
reformed2
v21
· 2 years ago
Reformed data
v20
· 2 years ago
Logan 3
v19
· 2 years ago
Logan 2
v18
· 2 years ago
Marion
v16
· 2 years ago
CJ
v14
· 2 years ago
dorothy
v9
· 2 years ago
Ben
v7
· 2 years ago
Logan
v6
· 2 years ago
Trevor
v5
· 2 years ago
No Augs
v4
· 2 years ago
2022-07-25 3:06pm
v2
· 2 years ago
v16
Marion
Generated on Jul 29, 2022
Popular Download Formats
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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893 Total Images
View All Images
Dataset Split
Train Set 69%
612Images
Valid Set 20%
175Images
Test Set 12%
106Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 2 remapped, 0 dropped
Augmentations
Outputs per training example: 1
Saturation: Between -43% and +43%
Brightness: Between -18% and +18%
Blur: Up to 3.5px
Bounding Box: Blur: Up to 5.25px
Bounding Box: Noise: Up to 1% of pixels