Dataset Versions
Versions
2024-01-09 12:36am
v31
· a year ago
2024-01-09 12:12am
v30
· a year ago
2024-01-09 12:05am
v29
· a year ago
2024-01-08 11:55pm
v28
· a year ago
2024-01-08 11:34pm
v27
· a year ago
2024-01-08 11:20pm
v26
· a year ago
2024-01-08 11:11pm
v25
· a year ago
2024-01-08 11:05pm
v24
· a year ago
2024-01-08 10:49pm
v23
· a year ago
2024-01-08 10:21pm
v22
· a year ago
2024-01-08 10:13pm
v21
· a year ago
2024-01-08 10:05pm
v20
· a year ago
2024-01-08 9:53pm
v19
· a year ago
2024-01-05 5:00pm
v18
· a year ago
2024-01-05 3:44pm
v17
· a year ago
2024-01-05 3:33pm
v16
· a year ago
2024-01-05 3:21pm
v15
· a year ago
2024-01-05 3:11pm
v14
· a year ago
2024-01-05 12:58pm
v13
· a year ago
2024-01-05 12:53pm
v12
· a year ago
2024-01-05 12:27pm
v11
· a year ago
2024-01-05 12:14pm
v10
· a year ago
2024-01-04 4:37pm
v9
· a year ago
2024-01-04 4:27pm
v8
· a year ago
2024-01-04 3:59pm
v7
· a year ago
2024-01-04 2:21pm
v6
· a year ago
2024-01-04 1:57pm
v5
· a year ago
2024-01-04 1:29pm
v4
· a year ago
2024-01-04 1:11pm
v3
· a year ago
2024-01-04 11:06am
v2
· a year ago
2024-01-04 10:56am
v1
· a year ago
v16
2024-01-05 3:33pm
Generated on Jan 5, 2024
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.
130 Total Images
View All Images
Dataset Split
Train Set 92%
120Images
Valid Set 4%
5Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-77% Horizontal Region, 0-73% Vertical Region
Resize: Fill (with center crop) in 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 -27° and +27°
Exposure: Between -14% and +14%