Dataset Versions
Versions
2023-11-21 9:43am
v50
· a year ago
2023-11-21 9:42am
v49
· a year ago
2023-11-21 9:41am
v48
· a year ago
2023-11-21 9:40am
v47
· a year ago
2023-11-21 9:37am
v45
· a year ago
2023-11-21 9:36am
v44
· a year ago
2023-11-21 9:35am
v43
· a year ago
2023-11-21 9:34am
v42
· a year ago
2023-11-21 9:33am
v41
· a year ago
2023-11-21 9:31am
v40
· a year ago
2023-11-21 9:29am
v39
· a year ago
2023-11-21 9:26am
v38
· a year ago
2023-11-21 9:23am
v36
· a year ago
2023-11-21 9:19am
v35
· a year ago
2023-11-17 11:25am
v34
· a year ago
complete
v33
· a year ago
2023-11-16 11:13am
v32
· a year ago
2023-11-16 11:09am
v31
· a year ago
2023-11-16 11:09am
v30
· a year ago
2023-11-16 10:59am
v24
· a year ago
2023-11-16 10:59am
v23
· a year ago
2023-11-16 10:59am
v22
· a year ago
2023-11-16 10:58am
v21
· a year ago
2023-11-16 10:11am
v19
· a year ago
2023-11-16 10:10am
v18
· a year ago
2023-11-16 10:09am
v17
· a year ago
2023-11-16 10:08am
v16
· a year ago
2023-11-16 10:06am
v14
· a year ago
2023-11-16 10:05am
v13
· a year ago
2023-11-16 10:05am
v12
· a year ago
2023-11-16 10:04am
v11
· a year ago
2023-11-16 10:04am
v10
· a year ago
2023-11-16 10:03am
v9
· a year ago
2023-11-16 10:01am
v8
· a year ago
2023-11-16 9:58am
v7
· a year ago
v33
complete
Generated on Nov 16, 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.
97 Total Images
View All Images
Dataset Split
Train Set 87%
84Images
Valid Set 8%
8Images
Test Set 5%
5Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 25% of images
Blur: Up to 3.75px
