Dataset Versions
Versions
test4
v13
· 2 years ago
2022-06-09 1:58pm
v12
· 2 years ago
test2
v11
· 2 years ago
test
v10
· 2 years ago
pas_aug
v9
· 2 years ago
2022-05-25 2:43pm
v8
· 2 years ago
aug80
v7
· 2 years ago
2022-05-25 2:25pm
v6
· 2 years ago
2022-05-25 2:22pm
v5
· 2 years ago
new_augmentation
v4
· 2 years ago
DataAugmented2
v3
· 2 years ago
DataNotAugmented
v2
· 2 years ago
DataAugmenetd
v1
· 2 years ago
v13
test4
Generated on Jun 9, 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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7854 Total Images
View All Images
Dataset Split
Train Set 75%
5880Images
Valid Set 13%
987Images
Test Set 13%
987Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -17° and +17°
Grayscale: Apply to 2% of images
Noise: Up to 2% of pixels