Dataset Versions
Versions
2023-11-17 9:58am
v33
· a year ago
2023-11-17 9:58am
v32
· a year ago
2023-11-17 9:58am
v31
· a year ago
2023-11-17 9:28am
v30
· a year ago
2023-11-16 4:29pm
v29
· a year ago
2023-11-16 4:29pm
v28
· a year ago
2023-11-16 4:29pm
v27
· a year ago
2023-11-16 4:29pm
v26
· a year ago
2023-11-16 4:29pm
v25
· a year ago
2023-11-16 4:29pm
v24
· a year ago
2023-11-16 4:29pm
v23
· a year ago
2023-11-16 4:29pm
v22
· a year ago
2023-11-16 4:29pm
v21
· a year ago
2023-11-16 4:29pm
v20
· a year ago
2023-11-16 4:29pm
v19
· a year ago
2023-11-16 4:29pm
v18
· a year ago
2023-11-16 4:29pm
v17
· a year ago
2023-11-16 4:29pm
v16
· a year ago
2023-11-16 4:29pm
v15
· a year ago
2023-11-16 4:29pm
v14
· a year ago
2023-11-16 4:29pm
v13
· a year ago
2023-11-16 4:29pm
v12
· a year ago
2023-11-16 4:29pm
v11
· a year ago
2023-11-16 4:29pm
v10
· a year ago
2023-11-16 4:28pm
v9
· a year ago
2023-11-16 4:17pm
v8
· a year ago
2023-06-28 5:02pm
v7
· a year ago
2023-06-23 4:23pm
v6
· a year ago
2023-06-19 4:09pm
v5
· 2 years ago
2023-06-19 4:09pm
v4
· 2 years ago
2023-06-19 4:09pm
v3
· 2 years ago
2023-06-19 4:09pm
v2
· 2 years ago
2023-06-19 3:57pm
v1
· 2 years ago
v7
2023-06-28 5:02pm
Generated on Jun 28, 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.
11200 Total Images
View All Images
Dataset Split
Train Set 88%
9804Images
Valid Set 8%
924Images
Test Set 4%
472Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Noise: Up to 1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 0.75px