Dataset Versions
Versions
2023-12-18 2:31pm
v18
· a year ago
2023-12-17 11:37pm
v17
· a year ago
2023-12-17 11:12pm
v16
· a year ago
2023-12-17 11:08pm
v15
· a year ago
2023-12-16 6:50pm
v14
· a year ago
2023-12-15 9:44pm
v13
· a year ago
2023-12-15 7:35pm
v12
· a year ago
2023-12-12 2:28pm
v11
· a year ago
2023-12-12 2:19pm
v10
· a year ago
2023-12-07 4:40pm
v9
· a year ago
2023-07-05 2:39pm
v8
· a year ago
2023-07-05 2:37pm
v7
· a year ago
2023-07-01 11:27am
v6
· a year ago
2023-06-30 11:58pm
v5
· a year ago
2023-04-27 9:21pm
v4
· 2 years ago
2023-04-08 10:16pm
v3
· 2 years ago
2023-03-16 10:28pm
v2
· 2 years ago
2023-03-10 11:25pm
v1
· 2 years ago
v16
2023-12-17 11:12pm
Generated on Dec 17, 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.
4941 Total Images
View All Images
Dataset Split
Train Set 89%
4395Images
Valid Set 7%
361Images
Test Set 4%
185Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Cutout: 4 boxes with 30% size each
Bounding Box: Crop: 25% Minimum Zoom, 50% Maximum Zoom