Dataset Versions
Versions
2022-11-08 11:10pm
v107
· 2 years ago
2022-11-08 12:14am
v106
· 2 years ago
2022-11-08 12:02am
v105
· 2 years ago
2022-11-08 12:01am
v104
· 2 years ago
2022-11-08 12:00am
v103
· 2 years ago
2022-11-07 4:39pm
v102
· 2 years ago
2022-11-07 8:51am
v101
· 2 years ago
2022-11-03 1:16pm
v100
· 2 years ago
2022-11-03 1:16pm
v99
· 2 years ago
2022-11-03 1:14pm
v98
· 2 years ago
2022-11-03 1:14pm
v97
· 2 years ago
2022-11-03 12:04pm
v96
· 2 years ago
2022-11-03 12:03pm
v95
· 2 years ago
2022-11-03 12:02pm
v94
· 2 years ago
2022-11-03 11:56am
v93
· 2 years ago
2022-11-03 11:55am
v92
· 2 years ago
2022-11-03 11:55am
v91
· 2 years ago
2022-11-03 11:53am
v90
· 2 years ago
2022-10-28 9:10pm
v89
· 2 years ago
2022-10-28 9:09pm
v88
· 2 years ago
2022-10-28 9:09pm
v87
· 2 years ago
2022-10-28 8:42am
v86
· 2 years ago
2022-10-28 8:42am
v85
· 2 years ago
2022-10-28 8:40am
v84
· 2 years ago
2022-10-28 1:22am
v83
· 2 years ago
2022-10-28 1:21am
v82
· 2 years ago
2022-10-28 1:20am
v81
· 2 years ago
2022-10-27 9:38pm
v80
· 2 years ago
2022-10-27 9:35pm
v79
· 2 years ago
2022-10-27 9:34pm
v78
· 2 years ago
2022-10-27 9:33pm
v77
· 2 years ago
2022-10-27 9:32pm
v76
· 2 years ago
2022-10-27 12:19pm
v66
· 2 years ago
2022-10-27 12:18pm
v65
· 2 years ago
v103
2022-11-08 12:00am
Generated on Nov 7, 2022
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.
419 Total Images
View All Images
Dataset Split
Train Set 90%
378Images
Valid Set 9%
37Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 40% of images
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 3% of pixels