Dataset Versions
Versions
2023-06-01 3:15pm
v11
· 2 years ago
2023-05-25 12:19am
v10
· 2 years ago
2023-05-25 12:18am
v9
· 2 years ago
2023-05-18 10:00am
v8
· 2 years ago
2023-05-16 8:30pm
v7
· 2 years ago
2023-05-15 4:31pm
v6
· 2 years ago
2023-05-12 11:26am
v5
· 2 years ago
2023-05-07 12:21pm
v4
· 2 years ago
2023-05-06 10:31pm
v3
· 2 years ago
2023-05-03 10:46am
v2
· 2 years ago
2023-05-01 12:10am
v1
· 2 years ago
v6
2023-05-15 4:31pm
Generated on May 15, 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.
4857 Total Images
View All Images
Dataset Split
Train Set 87%
4239Images
Valid Set 8%
400Images
Test Set 4%
218Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Hue: Between -80° and +80°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Exposure: Between -8% and +8%
Cutout: 8 boxes with 4% size each