Dataset Versions
Versions
2023-08-26 3:09pm
v24
· a year ago
2023-08-26 2:56pm
v23
· a year ago
2023-08-26 2:14pm
v22
· a year ago
2023-08-25 5:20pm
v21
· a year ago
2023-08-24 7:12pm
v20
· a year ago
2023-08-24 6:44pm
v19
· a year ago
2023-08-24 5:08pm
v18
· a year ago
2023-08-24 4:35pm
v17
· a year ago
2023-08-24 4:28pm
v16
· a year ago
2023-08-24 4:26pm
v15
· a year ago
2023-08-24 4:24pm
v14
· a year ago
2023-08-23 5:17pm
v13
· a year ago
2023-08-22 5:56pm
v12
· a year ago
2023-08-21 8:52pm
v11
· a year ago
2023-08-15 11:59am
v10
· a year ago
2023-08-15 11:58am
v9
· a year ago
2023-08-15 11:57am
v8
· a year ago
2023-08-15 11:56am
v7
· a year ago
2023-08-15 11:55am
v6
· a year ago
2023-08-15 11:28am
v5
· a year ago
2023-08-15 11:26am
v4
· a year ago
2023-08-14 8:51pm
v3
· a year ago
2023-08-14 12:27pm
v2
· a year ago
2023-08-14 11:56am
v1
· a year ago
v24
2023-08-26 3:09pm
Generated on Aug 26, 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.
5829 Total Images
View All Images
Dataset Split
Train Set 97%
5658Images
Valid Set 2%
103Images
Test Set 1%
68Images
Preprocessing
Resize: Stretch to 800x800
Modify Classes: 3 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -17° and +17°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 10% of pixels