Dataset Versions
Versions
2023-03-10 10:48am
v9
· 2 years ago
2023-03-10 10:38am
v8
· 2 years ago
2023-02-21 11:04am
v7
· 2 years ago
2023-02-21 11:02am
v6
· 2 years ago
2023-02-16 9:34pm
v5
· 2 years ago
2023-02-15 11:36am
v4
· 2 years ago
2023-02-15 11:34am
v3
· 2 years ago
2023-02-15 11:26am
v2
· 2 years ago
2023-02-14 11:41am
v1
· 2 years ago
v8
2023-03-10 10:38am
Generated on Mar 10, 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.
1611 Total Images
View All Images
Dataset Split
Train Set 91%
1458Images
Valid Set 7%
114Images
Test Set 2%
39Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±18° Horizontal, ±19° Vertical
Blur: Up to 3.75px
Noise: Up to 8% of pixels