Dataset Versions
Versions
2022-10-25 7:34am
v47
· 2 years ago
2022-10-23 8:59am
v46
· 2 years ago
2022-10-23 8:53am
v45
· 2 years ago
2022-10-23 8:49am
v44
· 2 years ago
2022-10-23 8:45am
v43
· 2 years ago
2022-10-23 8:15am
v42
· 2 years ago
2022-10-23 8:03am
v41
· 2 years ago
2022-10-23 7:53am
v40
· 2 years ago
2022-10-23 7:51am
v39
· 2 years ago
2022-10-23 7:42am
v38
· 2 years ago
2022-10-23 7:35am
v37
· 2 years ago
2022-10-23 7:33am
v36
· 2 years ago
2022-10-23 7:31am
v35
· 2 years ago
2022-10-23 7:04am
v34
· 2 years ago
2022-10-23 7:02am
v33
· 2 years ago
2022-10-23 7:00am
v32
· 2 years ago
2022-10-23 6:57am
v31
· 2 years ago
2022-10-23 6:55am
v30
· 2 years ago
2022-10-22 9:32pm
v29
· 2 years ago
2022-10-20 9:23pm
v28
· 2 years ago
2022-10-20 9:19pm
v27
· 2 years ago
2022-10-19 8:46pm
v26
· 2 years ago
2022-10-19 8:23pm
v25
· 2 years ago
2022-10-19 8:01pm
v24
· 2 years ago
2022-10-19 7:24pm
v23
· 2 years ago
2022-10-19 7:08pm
v22
· 2 years ago
2022-10-19 6:29pm
v21
· 2 years ago
2022-10-19 6:20pm
v20
· 2 years ago
2022-10-19 6:08pm
v19
· 2 years ago
2022-10-19 6:04pm
v18
· 2 years ago
2022-10-19 6:00pm
v17
· 2 years ago
2022-10-19 5:58pm
v16
· 2 years ago
2022-10-19 5:53pm
v15
· 2 years ago
2022-10-19 5:48pm
v14
· 2 years ago
2022-10-19 5:44pm
v13
· 2 years ago
2022-10-19 5:28pm
v12
· 2 years ago
v47
2022-10-25 7:34am
Generated on Oct 24, 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.
1458 Total Images
View All Images
Dataset Split
Train Set 65%
941Images
Valid Set 21%
304Images
Test Set 15%
213Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 10 dropped
Augmentations
Outputs per training example: 1
Rotation: Between -18° and +18°
Brightness: Between -40% and +40%
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 10px