Dataset Versions
Versions
v1_CRP_VER_IZQ
v26
· 2 years ago
v1_CRP_VER_DER
v25
· 2 years ago
v1_CRP_MODEL_DER
v24
· 2 years ago
v1_CRP_MODEL_IZQ
v23
· 2 years ago
v1_version_block
v22
· 2 years ago
v1_CRP_IZQ_LT2
v21
· 2 years ago
v1_CRP_IZQ_LT1
v20
· 2 years ago
v1_CRP_DER_LT2
v19
· 2 years ago
v1_CRP_DER_LT1
v18
· 2 years ago
v25
v1_CRP_VER_DER
Generated on Jun 22, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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207 Total Images
View All Images
Dataset Split
Train Set 96%
198Images
Valid Set %
0Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Static Crop: 53-97% Horizontal Region, 3-97% Vertical Region
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical