Dataset Versions
Versions
2023-03-06 9:20pm
v11
· 2 years ago
2023-01-29 8:51pm
v10
· 2 years ago
2023-01-29 8:47pm
v9
· 2 years ago
2023-01-20 2:12pm
v8
· 2 years ago
2023-01-20 2:07pm
v7
· 2 years ago
2023-01-17 10:58am
v6
· 2 years ago
2023-01-17 10:27am
v5
· 2 years ago
2023-01-17 12:10am
v4
· 2 years ago
2023-01-16 11:16pm
v3
· 2 years ago
2023-01-16 10:38pm
v2
· 2 years ago
v6
2023-01-17 10:58am
Generated on Jan 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.
15 Total Images
View All Images
Dataset Split
Train Set 80%
12Images
Valid Set 13%
2Images
Test Set 7%
1Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom