Dataset Versions
Versions
2022-08-19 1:04am
v27
· 2 years ago
2022-08-12 11:46pm
v26
· 2 years ago
2022-08-12 11:21pm
v25
· 2 years ago
2022-08-12 9:59pm
v24
· 2 years ago
2022-08-12 9:26pm
v23
· 2 years ago
2022-08-12 3:40pm
v22
· 2 years ago
2022-08-12 3:39pm
v21
· 2 years ago
2022-08-12 3:30pm
v20
· 2 years ago
2022-08-10 9:30am
v19
· 2 years ago
2022-08-10 9:01am
v18
· 2 years ago
2022-08-10 7:59am
v17
· 2 years ago
2022-08-10 5:31am
v16
· 2 years ago
2022-08-10 4:48am
v15
· 2 years ago
2022-08-10 4:36am
v14
· 2 years ago
2022-08-10 4:23am
v13
· 2 years ago
2022-08-10 2:45am
v12
· 2 years ago
2022-08-10 12:47am
v11
· 2 years ago
2022-08-09 5:23am
v10
· 2 years ago
2022-08-08 9:32pm
v9
· 2 years ago
2022-08-08 9:27pm
v8
· 2 years ago
2022-08-08 9:10pm
v7
· 2 years ago
2022-08-08 7:26pm
v6
· 2 years ago
2022-08-08 9:16am
v5
· 2 years ago
2022-08-08 8:34am
v4
· 2 years ago
2022-08-08 7:54am
v3
· 2 years ago
2022-08-08 12:55am
v2
· 2 years ago
2022-08-06 2:11am
v1
· 2 years ago
v6
2022-08-08 7:26pm
Generated on Aug 8, 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.
693 Total Images
View All Images
Dataset Split
Train Set 88%
612Images
Valid Set 8%
53Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Hue: Between -10° and +10°
Saturation: Between -40% and +40%
Brightness: Between -35% and +35%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels