Dataset Versions
Versions
2024-05-21 9:43pm
v11
· 6 months ago
2024-05-21 9:34pm
v10
· 6 months ago
v9
v9
· 6 months ago
2024-05-20 2:01am
v8
· 6 months ago
2024-02-18 4:11pm
v6
· 9 months ago
2023-11-25 6:27pm
v5
· a year ago
2023-11-17 11:54pm
v4
· a year ago
2023-11-17 11:16pm
v3
· a year ago
2023-11-17 5:11am
v2
· a year ago
2023-11-09 11:39am
v1
· a year ago
v8
2024-05-20 2:01am
Generated on May 20, 2024
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.
3561 Total Images
View All Images
Dataset Split
Train Set 88%
3117Images
Valid Set 8%
294Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.8px
Noise: Up to 1.83% of pixels