Dataset Versions
Versions
raw_data
v27
· 2 years ago
2023-02-25 4:37pm
v26
· 2 years ago
2023-02-23 8:25pm
v25
· 2 years ago
2023-02-23 7:56pm
v24
· 2 years ago
2023-02-23 7:18pm
v23
· 2 years ago
2023-02-23 7:15pm
v22
· 2 years ago
2023-02-23 4:24pm
v21
· 2 years ago
2023-02-23 2:34pm
v20
· 2 years ago
2023-02-23 1:48pm
v19
· 2 years ago
2023-02-22 11:04pm
v18
· 2 years ago
2023-02-22 8:47pm
v17
· 2 years ago
2023-01-27 1:13pm
v16
· 2 years ago
2023-01-15 12:26am
v15
· 2 years ago
2023-01-10 3:17pm
v14
· 2 years ago
2023-01-08 10:36am
v13
· 2 years ago
2023-01-07 8:43pm
v12
· 2 years ago
2023-01-07 5:30pm
v11
· 2 years ago
2023-01-07 4:33pm
v10
· 2 years ago
2023-01-07 4:12pm
v9
· 2 years ago
2023-01-07 4:10pm
v8
· 2 years ago
2023-01-07 2:00pm
v7
· 2 years ago
2023-01-07 1:28pm
v6
· 2 years ago
2023-01-07 12:29pm
v5
· 2 years ago
2023-01-04 10:57pm
v4
· 2 years ago
2023-01-04 10:08pm
v3
· 2 years ago
2023-01-04 3:42pm
v2
· 2 years ago
2023-01-04 3:10pm
v1
· 2 years ago
v20
2023-02-23 2:34pm
Generated on Feb 23, 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.
3870 Total Images
View All Images
Dataset Split
Train Set 72%
2774Images
Valid Set 19%
731Images
Test Set 9%
365Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal