Dataset Versions
Versions
2023-11-30 9:22am
v47
· a year ago
2023-11-30 9:19am
v46
· a year ago
2023-11-30 9:17am
v45
· a year ago
2023-11-28 10:58am
v44
· a year ago
2023-11-28 10:57am
v43
· a year ago
2023-11-28 10:57am
v42
· a year ago
2023-11-28 10:51am
v41
· a year ago
2023-11-28 10:51am
v40
· a year ago
2023-11-28 10:50am
v39
· a year ago
2023-11-28 10:49am
v38
· a year ago
2023-11-28 10:49am
v37
· a year ago
2023-11-28 10:48am
v36
· a year ago
2023-11-28 10:47am
v35
· a year ago
2023-11-28 10:08am
v34
· a year ago
2023-11-28 10:02am
v33
· a year ago
2023-11-28 10:00am
v32
· a year ago
2023-11-28 9:59am
v31
· a year ago
2023-11-28 9:58am
v30
· a year ago
2023-11-28 9:57am
v29
· a year ago
2023-11-28 9:51am
v28
· a year ago
2023-11-28 9:48am
v27
· a year ago
2023-11-16 10:31am
v26
· a year ago
2023-11-16 10:29am
v25
· a year ago
2023-11-16 10:27am
v24
· a year ago
2023-11-16 10:24am
v23
· a year ago
2023-11-16 10:22am
v22
· a year ago
2023-11-16 10:18am
v21
· a year ago
2023-11-16 10:16am
v20
· a year ago
2023-11-16 10:14am
v19
· a year ago
2023-11-16 10:07am
v18
· a year ago
2023-11-16 10:00am
v17
· a year ago
2023-11-16 9:58am
v16
· a year ago
v29
2023-11-28 9:57am
Generated on Nov 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.
140 Total Images
View All Images
Dataset Split
Train Set 88%
123Images
Valid Set 8%
11Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Blur: Up to 2.5px
Noise: Up to 2% of pixels