Dataset Versions
Versions
2022-12-07 5:07pm
v31
· 2 years ago
2022-12-07 5:06pm
v30
· 2 years ago
2022-12-07 5:05pm
v29
· 2 years ago
2022-12-07 3:34pm
v28
· 2 years ago
2022-12-07 3:33pm
v27
· 2 years ago
2022-12-07 3:32pm
v26
· 2 years ago
2022-12-07 3:32pm
v25
· 2 years ago
2022-12-07 3:31pm
v24
· 2 years ago
2022-12-07 3:30pm
v23
· 2 years ago
2022-12-07 3:28pm
v22
· 2 years ago
2022-12-07 3:23pm
v21
· 2 years ago
2022-12-07 3:22pm
v20
· 2 years ago
2022-12-07 3:21pm
v19
· 2 years ago
2022-12-01 8:43pm
v18
· 2 years ago
2022-12-01 8:31pm
v17
· 2 years ago
2022-12-01 8:29pm
v16
· 2 years ago
2022-12-01 8:29pm
v15
· 2 years ago
2022-12-01 8:28pm
v14
· 2 years ago
2022-12-01 8:27pm
v13
· 2 years ago
2022-12-01 8:26pm
v12
· 2 years ago
2022-12-01 8:26pm
v11
· 2 years ago
2022-12-01 8:25pm
v10
· 2 years ago
2022-12-01 8:24pm
v9
· 2 years ago
2022-12-01 8:21pm
v8
· 2 years ago
2022-10-19 2:06pm
v5
· 2 years ago
v16
2022-12-01 8:29pm
Generated on Dec 1, 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.
1145 Total Images
View All Images
Dataset Split
Train Set 88%
1002Images
Valid Set 8%
95Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Noise: Up to 1% of pixels