Dataset Versions
Versions
2024-05-24 2:35pm
v10
· 7 months ago
2023-01-02 11:42am
v9
· 2 years ago
2022-11-24 11:37pm
v8
· 2 years ago
2022-11-23 9:25pm
v7
· 2 years ago
2022-07-14 11:04pm
v6
· 2 years ago
2022-07-14 7:09pm
v5
· 2 years ago
2022-07-14 12:04am
v3
· 2 years ago
2022-07-14 12:03am
v2
· 2 years ago
2022-07-02 2:04pm
v1
· 2 years ago
v8
2022-11-24 11:37pm
Generated on Nov 24, 2022
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.
1132 Total Images
View All Images
Dataset Split
Train Set 97%
1095Images
Valid Set 3%
37Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 5-80% Vertical Region
Resize: Stretch to 416x416
Modify Classes: 16 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Mosaic: Applied