Dataset Versions
Versions
2024-06-13 10:18am
v11
· 6 months ago
Coral Testing Beta V1
v10
· 6 months ago
Coral Testing Beta V0
v9
· 6 months ago
Beta Testing V3
v8
· 6 months ago
Beta Testing V2
v7
· 6 months ago
2024-05-17 1:52pm
v6
· 7 months ago
Beta Testing V1
v5
· 8 months ago
2024-04-29 9:03pm
v4
· 8 months ago
Beta Testing V0
v1
· 8 months ago
v11
2024-06-13 10:18am
Generated on Jun 13, 2024
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.
9243 Total Images
View All Images
Dataset Split
Train Set 86%
7932Images
Valid Set 8%
699Images
Test Set 7%
612Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -0° and +0°
Brightness: Between 0% and +8%
Exposure: Between -7% and +7%
Blur: Up to 1.4px
Noise: Up to 0.22% of pixels