Dataset Versions
Versions
2023-12-01 10:04am
v35
· a year ago
2023-11-25 7:19pm
v34
· a year ago
2023-11-20 1:19pm
v33
· a year ago
2023-11-15 3:22pm
v32
· a year ago
2023-10-26 11:38am
v31
· a year ago
2023-10-17 1:56pm
v30
· a year ago
2023-10-17 12:35pm
v29
· a year ago
2023-10-17 12:33pm
v28
· a year ago
2023-10-17 12:26pm
v26
· a year ago
2023-09-07 4:22pm
v25
· a year ago
2023-06-26 12:46pm
v24
· a year ago
2023-06-26 12:14pm
v23
· a year ago
2023-05-18 12:02am
v22
· 2 years ago
2023-05-15 12:06pm
v21
· 2 years ago
2023-04-25 7:01pm
v20
· 2 years ago
2023-04-20 12:46pm
v18
· 2 years ago
2023-03-24 12:17pm
v15
· 2 years ago
2023-03-24 1:41am
v14
· 2 years ago
2023-03-21 1:05pm
v13
· 2 years ago
2023-03-20 12:39pm
v12
· 2 years ago
2023-02-27 4:38pm
v11
· 2 years ago
2023-02-27 1:40pm
v10
· 2 years ago
2023-02-21 9:23pm
v5
· 2 years ago
2023-02-21 5:39pm
v4
· 2 years ago
2023-02-21 8:52am
v3
· 2 years ago
2023-02-20 6:10pm
v2
· 2 years ago
2023-02-20 6:04pm
v1
· 2 years ago
v22
2023-05-18 12:02am
Generated on May 18, 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.
1816 Total Images
View All Images
Dataset Split
Train Set 89%
1623Images
Valid Set 7%
132Images
Test Set 3%
61Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Modify Classes: 10 remapped, 5 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Noise: Up to 12% of pixels