Dataset Versions
Versions
2024-02-28 9:11pm
v28
· 10 months ago
2024-02-12 11:11am
v27
· a year ago
2024-02-12 11:02am
v26
· a year ago
2024-02-12 8:46am
v25
· a year ago
2024-02-11 11:54pm
v24
· a year ago
2024-02-11 3:56pm
v23
· a year ago
2024-02-11 3:40pm
v22
· a year ago
2024-02-11 12:01pm
v21
· a year ago
2024-02-11 11:16am
v20
· a year ago
2024-02-11 10:04am
v19
· a year ago
2024-02-10 11:55pm
v18
· a year ago
2024-02-10 9:22pm
v17
· a year ago
2024-02-10 8:20pm
v16
· a year ago
2024-02-10 6:19pm
v15
· a year ago
2024-02-10 5:59pm
v14
· a year ago
2024-02-10 5:38pm
v13
· a year ago
2024-02-10 3:02pm
v12
· a year ago
2024-02-10 7:40am
v11
· a year ago
2024-02-10 7:40am
v10
· a year ago
2024-02-10 7:40am
v9
· a year ago
2024-02-10 7:40am
v8
· a year ago
2024-02-10 7:40am
v7
· a year ago
2024-02-10 7:40am
v6
· a year ago
2024-02-10 7:40am
v5
· a year ago
2024-02-10 7:39am
v4
· a year ago
2024-02-10 7:38am
v3
· a year ago
2024-02-10 7:38am
v2
· a year ago
2024-02-10 6:24am
v1
· a year ago
v28
2024-02-28 9:11pm
Generated on Feb 28, 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.
1530 Total Images
View All ImagesDataset Split
Train Set 100%
1530Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
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