Dataset Versions
Versions
2023-12-06 1:57pm
v10
· a year ago
2023-12-05 5:44pm
v9
· a year ago
2023-11-09 5:12pm
v8
· a year ago
2023-05-31 5:32am
v7
· a year ago
2023-02-09 9:29pm
v6
· 2 years ago
2022-12-02 2:55pm
v5
· 2 years ago
2022-12-01 5:12pm
v4
· 2 years ago
2022-11-20 11:42pm
v3
· 2 years ago
2022-11-18 1:23pm
v1
· 2 years ago
v6
2023-02-09 9:29pm
Generated on Feb 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.
9462 Total Images
View All Images
Dataset Split
Train Set 87%
8256Images
Valid Set 8%
778Images
Test Set 5%
428Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 2% size each