Dataset Versions
Versions
2024-04-18 2:21pm
v27
· 7 months ago
2024-04-18 2:21pm
v26
· 7 months ago
2024-04-18 2:21pm
v25
· 7 months ago
2024-04-18 2:21pm
v24
· 7 months ago
2024-04-18 2:21pm
v23
· 7 months ago
2024-04-18 2:21pm
v22
· 7 months ago
2024-04-18 2:21pm
v21
· 7 months ago
2024-04-18 2:21pm
v20
· 7 months ago
2024-04-18 2:21pm
v19
· 7 months ago
2024-04-18 2:21pm
v18
· 7 months ago
2024-04-18 2:21pm
v17
· 7 months ago
2024-04-18 2:21pm
v16
· 7 months ago
2024-04-18 2:21pm
v15
· 7 months ago
2024-04-18 2:21pm
v14
· 7 months ago
2024-04-18 2:21pm
v13
· 7 months ago
2024-04-18 2:21pm
v12
· 7 months ago
2024-04-18 2:21pm
v11
· 7 months ago
2024-04-18 2:21pm
v10
· 7 months ago
2024-04-18 2:21pm
v9
· 7 months ago
2024-04-18 2:21pm
v8
· 7 months ago
2024-04-18 2:21pm
v7
· 7 months ago
2024-04-18 2:21pm
v6
· 7 months ago
2024-04-18 2:21pm
v5
· 7 months ago
2024-04-18 2:15pm
v4
· 7 months ago
2024-04-18 2:11pm
v3
· 7 months ago
2024-04-18 2:03pm
v2
· 7 months ago
2024-04-18 2:01pm
v1
· 7 months ago
v10
2024-04-18 2:21pm
Generated on Apr 18, 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.
455 Total Images
View All ImagesDataset Split
Train Set 90%
408Images
Valid Set 7%
31Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 15 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%