Dataset Versions
Versions
2023-06-12 3:21am
v16
· 2 years ago
2023-06-11 10:11am
v15
· 2 years ago
2023-06-09 4:06am
v14
· 2 years ago
2023-02-22 8:58pm
v13
· 2 years ago
2023-02-21 11:07pm
v12
· 2 years ago
2023-01-28 8:51pm
v11
· 2 years ago
2023-01-28 8:36pm
v9
· 2 years ago
2023-01-20 2:05am
v2
· 2 years ago
2023-01-20 12:24am
v1
· 2 years ago
v2
2023-01-20 2:05am
Generated on Jan 19, 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.
2390 Total Images
View All Images
Dataset Split
Train Set 88%
2094Images
Valid Set 8%
202Images
Test Set 4%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x320
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 5% size each
Mosaic: Applied