Dataset Versions
Versions
2024-10-20 1:01pm
v20
· 2 months ago
doesn-t detect
v19
· 2 months ago
also doesn-t detect
v18
· 2 months ago
also also doesn-t detect
v17
· 2 months ago
Vyomi - V1 doesn-t detect
v16
· 2 months ago
Jonah - Version 2
v7
· 2 months ago
Shreya -V2 -GOAT-
v5
· 2 months ago
Jonah - Version 1
v4
· 2 months ago
Version 3
v3
· 2 months ago
Version 2
v2
· 2 months ago
v16
Vyomi - V1 doesn-t detect
Generated on Oct 19, 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.
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4569 Total Images
View All Images
Dataset Split
Train Set 93%
4249Images
Valid Set 4%
199Images
Test Set 3%
121Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 7
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -47% and +47%
Bounding Box: Exposure: Between -18% and +18%
Bounding Box: Noise: Up to 1.23% of pixels