example Dataset
Versions
2024-01-09 8:18pm
v12
· 9 months ago
2024-01-09 3:14pm
v11
· 9 months ago
2024-01-09 2:21pm
v10
· 9 months ago
2024-01-08 9:07pm
v9
· 9 months ago
2024-01-08 8:53pm
v8
· 9 months ago
2024-01-08 8:06pm
v7
· 9 months ago
2024-01-08 7:55pm
v6
· 9 months ago
2023-12-28 9:40am
v5
· 9 months ago
weiyang
v4
· 9 months ago
2023-12-26 6:58pm
v3
· 9 months ago
2023-12-25 4:42pm
v2
· 9 months ago
2023-12-25 4:25pm
v1
· 9 months ago
v5
2023-12-28 9:40am
Generated on Dec 28, 2023
Popular Download Formats
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.
1879 Total Images
View All Images
Dataset Split
Train Set 87%
1638Images
Valid Set 8%
149Images
Test Set 5%
92Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Blur: Up to 0.25px
Cutout: 4 boxes with 9% size each
Bounding Box: Crop: 0% Minimum Zoom, 8% Maximum Zoom