Dataset Versions
Versions
2024-10-11 5:14pm
v27
· a month ago
2024-10-03 12:21pm
v26
· a month ago
2024-10-03 12:05pm
v25
· a month ago
2024-09-30 3:33pm
v24
· 2 months ago
2024-09-30 3:28pm
v23
· 2 months ago
2024-09-30 3:22pm
v22
· 2 months ago
2024-09-30 7:23am
v21
· 2 months ago
2024-09-26 10:47am
v20
· 2 months ago
2024-09-25 4:26pm
v19
· 2 months ago
2024-09-25 3:58pm
v18
· 2 months ago
2024-09-25 3:55pm
v17
· 2 months ago
2024-09-25 3:53pm
v16
· 2 months ago
2024-09-25 3:49pm
v15
· 2 months ago
2024-09-23 2:44pm
v14
· 2 months ago
2024-09-23 2:21pm
v13
· 2 months ago
2024-09-20 7:54am
v12
· 2 months ago
2024-09-20 6:52am
v11
· 2 months ago
2024-09-17 7:44am
v10
· 2 months ago
2024-09-16 9:52pm
v8
· 2 months ago
2024-09-16 9:39pm
v7
· 2 months ago
2024-09-09 3:28pm
v6
· 2 months ago
2024-09-09 3:22pm
v5
· 2 months ago
2024-09-05 11:25pm
v4
· 2 months ago
2024-09-05 6:00pm
v3
· 2 months ago
2024-09-05 5:55pm
v2
· 2 months ago
2024-09-02 8:59pm
v1
· 2 months ago
v10
2024-09-17 7:44am
Generated on Sep 17, 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.
422 Total Images
View All ImagesDataset Split
Train Set 94%
395Images
Valid Set 6%
27Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 2000x1200
Augmentations
Outputs per training example: 3
Flip: Horizontal
Exposure: Between -6% and +6%