Dataset Versions
Versions
2023-09-10 2:41am
v10
· a year ago
2023-09-10 1:43am
v9
· a year ago
2023-09-09 10:00pm
v8
· a year ago
2023-09-08 10:46pm
v7
· a year ago
2023-09-07 11:39pm
v6
· a year ago
2023-09-07 11:38pm
v5
· a year ago
2023-09-07 10:26pm
v4
· a year ago
2023-09-07 10:24pm
v3
· a year ago
2023-09-07 10:22pm
v2
· a year ago
2023-09-07 9:12pm
v1
· a year ago
v2
2023-09-07 10:22pm
Generated on Sep 7, 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.
426 Total Images
View All Images
Dataset Split
Train Set 100%
426Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-56% Horizontal Region, 14-43% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -52° and +52°
Saturation: Between -30% and +30%
Brightness: Between -36% and +36%
Blur: Up to 1.5px
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Noise: Up to 10% of pixels