Dataset Versions
Versions
2022-10-31 11:01pm
v13
· 2 years ago
2022-10-27 1:15am
v12
· 2 years ago
teste_relas_v2
v11
· 2 years ago
teste_relas
v10
· 2 years ago
2022-10-07 5:23pm
v7
· 2 years ago
2022-10-04 9:21am
v6
· 2 years ago
2022-10-04 12:19am
v5
· 2 years ago
2022-08-02 2:37am
v3
· 2 years ago
2022-07-02 2:55am
v2
· 2 years ago
2022-07-02 12:02am
v1
· 2 years ago
v1
2022-07-02 12:02am
Generated on Jul 2, 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.
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1983 Total Images
View All Images
Dataset Split
Train Set 92%
1830Images
Valid Set 8%
153Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Saturation: Between -26% and +26%
Brightness: Between -36% and +36%
Exposure: Between -19% and +19%
Blur: Up to 2.5px
Noise: Up to 7% of pixels