Dataset Versions
Versions
2023-01-14 2:02am
v17
· 2 years ago
2023-01-14 1:14am
v16
· 2 years ago
2023-01-14 12:07am
v15
· 2 years ago
2023-01-14 12:04am
v14
· 2 years ago
2023-01-13 6:37pm
v13
· 2 years ago
2023-01-12 3:57pm
v12
· 2 years ago
2023-01-11 10:34pm
v11
· 2 years ago
2023-01-10 4:33pm
v10
· 2 years ago
2023-01-10 1:10pm
v9
· 2 years ago
2023-01-09 11:01pm
v8
· 2 years ago
2023-01-06 8:11pm
v7
· 2 years ago
2023-01-06 7:54pm
v6
· 2 years ago
2023-01-06 7:04pm
v5
· 2 years ago
2023-01-06 5:35pm
v4
· 2 years ago
2023-01-06 5:24pm
v3
· 2 years ago
main
v2
· 2 years ago
v11
2023-01-11 10:34pm
Generated on Jan 11, 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.
2330 Total Images
View All ImagesDataset Split
Train Set 91%
2127Images
Valid Set 6%
138Images
Test Set 3%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Upside Down
Rotation: Between -25° and +25°
Hue: Between -30° and +30°
Saturation: Between -75% and +75%
Exposure: Between -28% and +28%
Blur: Up to 3.25px
Noise: Up to 15% of pixels
Cutout: 5 boxes with 16% size each