Dataset Versions
Versions
2023-10-22 12:52pm
v9
· a year ago
2023-10-22 12:32pm
v8
· a year ago
2023-10-22 12:08pm
v7
· a year ago
2023-10-22 9:50am
v6
· a year ago
2023-10-22 8:29am
v5
· a year ago
2023-10-19 10:08pm
v4
· a year ago
2023-10-19 4:33pm
v3
· a year ago
2023-10-19 4:26pm
v2
· a year ago
2023-10-18 5:13pm
v1
· a year ago
v9
2023-10-22 12:52pm
Generated on Oct 22, 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.
530 Total Images
View All Images
Dataset Split
Train Set 77%
408Images
Valid Set 15%
77Images
Test Set 8%
45Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 900x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 30% of images
Exposure: Between -20% and +20%