MIT Fishery Dataset
Versions
2023-07-19 8:40pm
v18
· a year ago
2023-07-14 11:05am
v17
· a year ago
2023-07-12 10:36pm
v16
· a year ago
2023-07-11 11:32pm
v15
· a year ago
2023-07-11 8:01am
v14
· a year ago
2023-07-10 2:49pm
v13
· a year ago
2023-07-10 9:35am
v12
· a year ago
2023-07-09 1:05pm
v11
· a year ago
2023-07-07 6:13am
v10
· a year ago
2023-07-06 9:20pm
v9
· a year ago
2023-07-06 9:06pm
v8
· a year ago
2023-07-05 9:32pm
v7
· a year ago
2023-07-03 8:51am
v6
· a year ago
2023-07-02 4:39pm
v5
· a year ago
2023-07-02 4:30pm
v4
· a year ago
2023-06-30 11:44am
v3
· a year ago
2023-06-30 8:00am
v2
· a year ago
2023-06-30 7:54am
v1
· a year ago
v11
2023-07-09 1:05pm
Generated on Jul 9, 2023
Popular Download Formats
YOLOv9
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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3538 Total Images
View All Images
Dataset Split
Train Set 83%
2948Images
Valid Set 12%
412Images
Test Set 5%
178Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 320x240
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 2
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -4° and +4°
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 5% of pixels