Broiler Chicken Detection Image Dataset
Versions
2023-01-17 12:06am
v12
Jan 16, 2023
2023-01-16 8:39pm
v10
Jan 16, 2023
2023-01-14 9:29pm
v8
Jan 14, 2023
2023-01-14 4:15pm
v7
Jan 14, 2023
2023-01-14 2:05pm
v6
Jan 14, 2023
2023-01-14 12:34pm
v5
Jan 14, 2023
2023-01-13 5:47pm
v4
Jan 13, 2023
2023-01-12 7:06pm
v3
Jan 12, 2023
2023-01-11 7:21pm
v2
Jan 11, 2023
2023-01-11 7:07pm
v1
Jan 11, 2023
v8
2023-01-14 9:29pm
Generated on Jan 14, 2023
Popular Download Formats
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
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363 Total Images
View All Images
Dataset Split
Train Set 87%
315Images
Valid Set 8%
29Images
Test Set 5%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 3 boxes with 10% size each
Bounding Box: Blur: Up to 10px
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