Dataset Versions
Versions
2023-06-20 10:43pm
v37
· a year ago
2023-04-18 12:45pm
v36
· 2 years ago
2023-04-13 9:47am
v35
· 2 years ago
2023-04-06 12:28pm
v34
· 2 years ago
2023-01-17 8:29pm
v33
· 2 years ago
2023-01-10 7:38pm
v32
· 2 years ago
2023-01-03 10:21am
v31
· 2 years ago
2022-12-08 8:49pm
v30
· 2 years ago
2022-11-25 1:15pm
v29
· 2 years ago
2022-11-19 7:44pm
v28
· 2 years ago
2022-11-18 10:43pm
v27
· 2 years ago
2022-11-18 10:36pm
v26
· 2 years ago
2022-10-25 10:15pm
v25
· 2 years ago
2022-10-24 9:15pm
v24
· 2 years ago
2022-10-24 6:03pm
v23
· 2 years ago
2022-10-24 10:05am
v22
· 2 years ago
2022-10-23 9:19pm
v21
· 2 years ago
2022-10-23 8:15pm
v20
· 2 years ago
2022-10-22 8:55pm
v19
· 2 years ago
2022-10-22 1:53pm
v18
· 2 years ago
2022-10-21 10:33pm
v17
· 2 years ago
2022-10-21 12:23am
v16
· 2 years ago
2022-10-20 5:39pm
v15
· 2 years ago
2022-10-19 11:02pm
v14
· 2 years ago
2022-10-19 5:32pm
v13
· 2 years ago
2022-10-19 5:31pm
v12
· 2 years ago
2022-10-19 2:23pm
v11
· 2 years ago
2022-10-18 10:43pm
v10
· 2 years ago
2022-10-18 6:38pm
v9
· 2 years ago
2022-10-18 5:07pm
v8
· 2 years ago
2022-10-18 3:56pm
v7
· 2 years ago
2022-10-17 9:43pm
v6
· 2 years ago
2022-10-17 9:17pm
v5
· 2 years ago
2022-10-17 7:52pm
v4
· 2 years ago
2022-10-17 6:03pm
v3
· 2 years ago
2022-10-17 3:36pm
v2
· 2 years ago
2022-10-17 2:16pm
v1
· 2 years ago
v37
2023-06-20 10:43pm
Generated on Jun 21, 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.
28149 Total Images
View All Images
Dataset Split
Train Set 87%
24435Images
Valid Set 9%
2428Images
Test Set 5%
1286Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Augmentations
Outputs per training example: 3
Rotation: Between -3° and +3°