Dataset Versions
Versions
2023-11-07 5:01pm
v10
· a year ago
2023-11-07 1:08pm
v9
· a year ago
2023-11-07 4:58am
v8
· a year ago
2023-11-07 4:52am
v7
· a year ago
2023-11-07 2:00am
v6
· a year ago
2023-10-26 12:43pm
v5
· a year ago
2023-10-26 10:02am
v4
· a year ago
2023-10-25 4:37pm
v3
· a year ago
2023-10-24 1:47pm
v2
· a year ago
2023-08-03 9:31am
v1
· a year ago
v7
2023-11-07 4:52am
Generated on Nov 6, 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.
5323 Total Images
View All Images
Dataset Split
Train Set 88%
4659Images
Valid Set 8%
443Images
Test Set 4%
221Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -80° and +80°
Saturation: Between -58% and +58%
Brightness: Between -32% and +0%
Exposure: Between -19% and +19%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 1% of pixels