Dataset Versions
Versions
2024-10-25 9:38am
v10
· 2 months ago
2024-10-25 9:35am
v9
· 2 months ago
2024-10-25 9:33am
v8
· 2 months ago
2024-10-25 9:27am
v7
· 2 months ago
2024-10-25 6:43am
v6
· 2 months ago
2024-10-23 9:27pm
v5
· 2 months ago
2024-10-23 7:34pm
v4
· 2 months ago
2024-10-22 10:09am
v3
· 2 months ago
2024-10-18 4:19pm
v2
· 2 months ago
2024-10-18 4:16pm
v1
· 2 months ago
v6
2024-10-25 6:43am
Generated on Oct 25, 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.
1948 Total Images
View All Images
Dataset Split
Train Set 90%
1761Images
Valid Set 6%
113Images
Test Set 4%
74Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x384
Augmentations
Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical