Dataset Versions
Versions
2023-06-22 1:53pm
v16
· 2 years ago
2023-06-06 4:49pm
v15
· 2 years ago
2023-06-01 11:33am
v14
· 2 years ago
2023-05-11 2:16pm
v13
· 2 years ago
2023-05-11 2:14pm
v12
· 2 years ago
2023-04-15 9:57am
v11
· 2 years ago
version new epoch 25
v10
· 2 years ago
2023-03-27 11:14am
v9
· 2 years ago
2023-03-13 4:28pm
v3
· 2 years ago
2023-03-13 3:33pm
v2
· 2 years ago
2023-03-13 2:04pm
v1
· 2 years ago
v16
2023-06-22 1:53pm
Generated on Jun 22, 2023
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.
710 Total Images
View All Images
Dataset Split
Train Set 86%
609Images
Valid Set 8%
58Images
Test Set 6%
43Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Shear: ±5° Horizontal, ±13° Vertical
Brightness: Between -12% and +12%
Blur: Up to 0.75px
Noise: Up to 2% of pixels