Dataset Versions
Versions
2024-01-07 4:04pm
v43
· a year ago
2024-01-06 10:35am
v41
· a year ago
2024-01-06 10:18am
v40
· a year ago
2024-01-06 10:16am
v39
· a year ago
2024-01-06 10:16am
v38
· a year ago
2024-01-06 10:16am
v36
· a year ago
2024-01-06 10:14am
v35
· a year ago
2024-01-06 10:14am
v34
· a year ago
2024-01-06 10:14am
v33
· a year ago
2024-01-06 10:08am
v31
· a year ago
2024-01-06 9:48am
v29
· a year ago
2024-01-03 3:36pm
v28
· a year ago
2024-01-03 3:35pm
v27
· a year ago
2023-12-26 11:59am
v26
· a year ago
2023-12-26 11:55am
v25
· a year ago
2023-12-26 11:55am
v24
· a year ago
2023-12-26 11:55am
v23
· a year ago
2023-12-26 11:55am
v22
· a year ago
2023-12-26 11:55am
v21
· a year ago
2023-12-26 11:55am
v20
· a year ago
2023-12-26 11:55am
v19
· a year ago
2023-12-26 11:55am
v18
· a year ago
2023-12-26 11:55am
v17
· a year ago
2023-12-26 11:55am
v16
· a year ago
2023-12-26 11:55am
v15
· a year ago
2023-12-26 11:54am
v14
· a year ago
2023-12-26 11:36am
v13
· a year ago
2023-12-08 11:16pm
v12
· a year ago
2023-12-08 11:16pm
v11
· a year ago
2023-12-08 11:16pm
v10
· a year ago
2023-12-08 11:16pm
v9
· a year ago
2023-12-08 11:16pm
v8
· a year ago
2023-12-08 11:16pm
v7
· a year ago
2023-12-08 11:16pm
v6
· a year ago
2023-12-08 11:16pm
v5
· a year ago
2023-12-08 11:16pm
v4
· a year ago
2023-12-08 11:15pm
v3
· a year ago
2023-12-08 10:12pm
v2
· a year ago
2023-12-03 4:00pm
v1
· a year ago
v26
2023-12-26 11:59am
Generated on Dec 26, 2023
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.
130 Total Images
View All Images
Dataset Split
Train Set 88%
114Images
Valid Set 8%
10Images
Test Set 5%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -18° and +18°
Hue: Between -83° and +83°
Saturation: Between -58% and +58%