Dataset Versions
Versions
2023-05-04 8:10pm
v14
· 2 years ago
2023-05-04 7:31pm
v13
· 2 years ago
2023-05-04 6:56pm
v12
· 2 years ago
2023-05-04 6:28pm
v11
· 2 years ago
2023-04-30 8:55am
v10
· 2 years ago
2023-04-30 8:32am
v8
· 2 years ago
2023-04-30 8:21am
v7
· 2 years ago
2023-04-29 11:51am
v6
· 2 years ago
2023-04-29 8:11am
v5
· 2 years ago
2023-04-29 5:24am
v4
· 2 years ago
2023-04-27 6:30pm
v3
· 2 years ago
2023-04-27 5:44pm
v2
· 2 years ago
2023-04-27 5:35pm
v1
· 2 years ago
v12
2023-05-04 6:56pm
Generated on May 4, 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.
1320 Total Images
View All Images
Dataset Split
Train Set 88%
1155Images
Valid Set 8%
110Images
Test Set 4%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%