Dataset Versions
Versions
Version 11 include go pro
v11
· 2 years ago
Version 10 dataset updated
v10
· 2 years ago
Version 9 Original size - dataset updated
v9
· 2 years ago
Version 6 more training image
v6
· 2 years ago
Version 5 no darker
v5
· 2 years ago
Version 3 no noise- less validation set
v3
· 2 years ago
Version 2 -1920x1080-
v2
· 2 years ago
Version 1 -3840x1080-
v1
· 2 years ago
v6
Version 6 more training image
Generated on Sep 13, 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.
Other Formats
Choose another format.
2440 Total Images
View All Images
Dataset Split
Train Set 98%
2384Images
Valid Set 2%
56Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-50% Horizontal Region, 0-100% Vertical Region
Augmentations
Outputs per training example: 3
Brightness: Between 0% and +20%
Exposure: Between -20% and +20%